var bibbase_data = {"data":"\"Loading..\"\n\n
\n\n \n\n \n\n \n \n\n \n\n \n \n\n \n\n \n
\n generated by\n \n \"bibbase.org\"\n\n \n
\n \n\n
\n\n \n\n\n
\n\n Excellent! Next you can\n create a new website with this list, or\n embed it in an existing web page by copying & pasting\n any of the following snippets.\n\n
\n JavaScript\n (easiest)\n
\n \n <script src=\"https://bibbase.org/show?bib=http%3A%2F%2Fwww.baudette.fr%2Ffiles%2Fmaxime.bib&jsonp=1&jsonp=1\"></script>\n \n
\n\n PHP\n
\n \n <?php\n $contents = file_get_contents(\"https://bibbase.org/show?bib=http%3A%2F%2Fwww.baudette.fr%2Ffiles%2Fmaxime.bib&jsonp=1\");\n print_r($contents);\n ?>\n \n
\n\n iFrame\n (not recommended)\n
\n \n <iframe src=\"https://bibbase.org/show?bib=http%3A%2F%2Fwww.baudette.fr%2Ffiles%2Fmaxime.bib&jsonp=1\"></iframe>\n \n
\n\n

\n For more details see the documention.\n

\n
\n
\n\n
\n\n This is a preview! To use this list on your own web site\n or create a new web site from it,\n create a free account. The file will be added\n and you will be able to edit it in the File Manager.\n We will show you instructions once you've created your account.\n
\n\n
\n\n

To the site owner:

\n\n

Action required! Mendeley is changing its\n API. In order to keep using Mendeley with BibBase past April\n 14th, you need to:\n

    \n
  1. renew the authorization for BibBase on Mendeley, and
    2. \n
  2. update the BibBase URL\n in your page the same way you did when you initially set up\n this page.\n
    3. \n
\n

\n\n

\n \n \n Fix it now\n

\n
\n\n
\n\n\n
\n \n \n
\n
\n  \n 2021\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Hardware-In-the-Loop Benchmarking Setup for Phasor Based Control Validation.\n \n \n \n\n\n \n Baudette, M.; Swartz, J.; Moffat, K.; Pakshong, J.; Chu, L.; Gehbauer, C.; and von Meier , A.\n\n\n \n\n\n\n In IFAC-PapersOnLine, volume 54, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{baudetteHardwareIntheLoopBenchmarkingSetup2021,\n  title = {Hardware-{{In-the-Loop Benchmarking Setup}} for {{Phasor Based Control Validation}}},\n  booktitle = {{{IFAC-PapersOnLine}}},\n  author = {Baudette, M. and Swartz, J. and Moffat, K. and Pakshong, J. and Chu, L. and Gehbauer, C. and {von Meier}, A.},\n  year = {2021},\n  volume = {54},\n  issn = {24058963},\n  doi = {10.1016/j.ifacol.2021.11.261},\n  abstract = {Phasor Based Control is a novel approach to controlling Distributed Energy Resources that aims at relieving various constraints that arise in the distribution grid. It is a two-layer control system with a supervisory control that coordinates distributed controllers to reach voltage phasor targets. The distributed controllers use local synchrophasor measurements and operate as feedback controllers. This control method is currently under development with several algorithms being under consideration for both the central and distributed components. In this paper, we present the experimental setup that was prepared to prototype a hardware implementation and validate the control method in Hardware-In-the-Loop.},\n  copyright = {All rights reserved},\n  keywords = {DER,Phasor based control,Renewable energies,\\textmu PMU}\n}\n\n
\n
\n\n\n
\n Phasor Based Control is a novel approach to controlling Distributed Energy Resources that aims at relieving various constraints that arise in the distribution grid. It is a two-layer control system with a supervisory control that coordinates distributed controllers to reach voltage phasor targets. The distributed controllers use local synchrophasor measurements and operate as feedback controllers. This control method is currently under development with several algorithms being under consideration for both the central and distributed components. In this paper, we present the experimental setup that was prepared to prototype a hardware implementation and validate the control method in Hardware-In-the-Loop.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Field Demonstration of Inverter-based Voltage Management Using Extremum Seeking Control.\n \n \n \n\n\n \n MacDonald, J.; Baudette, M.; Dunn, K.; and Mohsenian-Rad, H.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2021-July, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{macdonaldFieldDemonstrationInverterbased2021,\n  title = {Field {{Demonstration}} of {{Inverter-based Voltage Management}} Using {{Extremum Seeking Control}}},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {MacDonald, J.S. and Baudette, M. and Dunn, K. and {Mohsenian-Rad}, H.},\n  year = {2021},\n  volume = {2021-July},\n  issn = {19449933},\n  doi = {10.1109/PESGM46819.2021.9637859},\n  abstract = {The influx of Distributed Energy Resources (DER) throughout the distribution system presents a challenge and an opportunity for maintaining power quality standards throughout the system. As such, DER Management systems have become a burgeoning field in both industry and academia. This work presents results from a field test of a model-free, distributed control approach, Extremum Seeking, applied to voltage management on a live feeder in Riverside, CA. The paper presents selected results to highlight the successes and challenges the control approach faced. The work shows that despite slow inverter response, extremum seeking control is able to drive voltage toward a target without knowledge of the system it is operating on.},\n  copyright = {All rights reserved},\n  isbn = {978-1-66540-507-2},\n  keywords = {DER,Field Demonstration,Model-Free Control,Voltage Support}\n}\n\n
\n
\n\n\n
\n The influx of Distributed Energy Resources (DER) throughout the distribution system presents a challenge and an opportunity for maintaining power quality standards throughout the system. As such, DER Management systems have become a burgeoning field in both industry and academia. This work presents results from a field test of a model-free, distributed control approach, Extremum Seeking, applied to voltage management on a live feeder in Riverside, CA. The paper presents selected results to highlight the successes and challenges the control approach faced. The work shows that despite slow inverter response, extremum seeking control is able to drive voltage toward a target without knowledge of the system it is operating on.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Phasor Based Control with the Distributed, Extensible Grid Control Platform.\n \n \n \n\n\n \n Moffat, K.; Pakshong, J.; Chu, L.; Fierro, G.; Swartz, J.; Baudette, M.; and Von Meier, A.\n\n\n \n\n\n\n In 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{moffatPhasorBasedControl2021,\n  title = {Phasor Based Control with the Distributed, Extensible Grid Control Platform},\n  booktitle = {2021 {{IEEE Power}} and {{Energy Society Innovative Smart Grid Technologies Conference}}, {{ISGT}} 2021},\n  author = {Moffat, K. and Pakshong, J. and Chu, L. and Fierro, G. and Swartz, J. and Baudette, M. and Von Meier, A.},\n  year = {2021},\n  doi = {10.1109/ISGT49243.2021.9372161},\n  abstract = {This paper describes how to implement Phasor Based Control (PBC) using the Distributed, Extensible Grid Control (DEGC) Platform. PBC is a novel method for controlling distributed energy resources (DER) that coordinates a centralized optimization with distributed feedback controllers to enforce voltage phasor targets. DEGC is an open source software and communication platform designed for general DER control. We deployed PBC at Lawrence Berkeley Lab's FLEXLAB test site, conducting multiple hardware-in-the-loop test runs. We describe how DEGC was used to implement PBC on hardware, and results demonstrating successful deployment.},\n  copyright = {All rights reserved},\n  isbn = {978-1-72818-897-3},\n  keywords = {DEGC,DER,DERMS,Hardware-in-the-Loop,HIL,PBC,Phasor Based Control,PMU,Synchrophasor}\n}\n\n
\n
\n\n\n
\n This paper describes how to implement Phasor Based Control (PBC) using the Distributed, Extensible Grid Control (DEGC) Platform. PBC is a novel method for controlling distributed energy resources (DER) that coordinates a centralized optimization with distributed feedback controllers to enforce voltage phasor targets. DEGC is an open source software and communication platform designed for general DER control. We deployed PBC at Lawrence Berkeley Lab's FLEXLAB test site, conducting multiple hardware-in-the-loop test runs. We describe how DEGC was used to implement PBC on hardware, and results demonstrating successful deployment.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n RaPId - A Parameter Estimation Toolbox for Modelica/FMI-based Models Exploiting Global Optimization Methods.\n \n \n \n\n\n \n Podlaski, M.; Vanfretti, L.; Bogodorova, T.; Rabuzin, T.; and Baudette, M.\n\n\n \n\n\n\n In IFAC-PapersOnLine, volume 54, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{podlaskiRaPIdParameterEstimation2021,\n  title = {{{RaPId}} - {{A}} Parameter Estimation Toolbox for Modelica/{{FMI-based}} Models Exploiting Global Optimization Methods},\n  booktitle = {{{IFAC-PapersOnLine}}},\n  author = {Podlaski, M. and Vanfretti, L. and Bogodorova, T. and Rabuzin, T. and Baudette, M.},\n  year = {2021},\n  volume = {54},\n  issn = {24058963},\n  doi = {10.1016/j.ifacol.2021.08.391},\n  abstract = {This paper describes new additions to the Rapid Parameter Identification Toolbox (RaPId), which is an open-source MATLAB toolbox for parameter estimation using models developed with the Modelica language and exported with the functional mock-up interface (FMI) Standard. These additions include an updated graphical user interface (GUI), an optimization method utilizing multiple starting points for a gradient descent optimization, and examples for different cyber-physical system applications such as the Duffing-Holmes equation modeling in a form of electrical circuit and a hydroelectric power plant modeling.},\n  copyright = {All rights reserved},\n  keywords = {Dynamic models,Electric power systems,Global optimization,Parameter estimation,Software tools}\n}\n\n
\n
\n\n\n
\n This paper describes new additions to the Rapid Parameter Identification Toolbox (RaPId), which is an open-source MATLAB toolbox for parameter estimation using models developed with the Modelica language and exported with the functional mock-up interface (FMI) Standard. These additions include an updated graphical user interface (GUI), an optimization method utilizing multiple starting points for a gradient descent optimization, and examples for different cyber-physical system applications such as the Duffing-Holmes equation modeling in a form of electrical circuit and a hydroelectric power plant modeling.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2020\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n HIL-validation of an Extremum Seeking-Based Controller for Advanced Der Management.\n \n \n \n\n\n \n Baudette, M.; Arnold, D.; Breaden, C.; Sankur, M.; Callaway, D.; and MacDonald, J.\n\n\n \n\n\n\n In 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{baudetteHILvalidationExtremumSeekingbased2020,\n  title = {{{HIL-validation}} of an Extremum Seeking-Based Controller for Advanced Der Management},\n  booktitle = {2020 {{IEEE Power}} and {{Energy Society Innovative Smart Grid Technologies Conference}}, {{ISGT}} 2020},\n  author = {Baudette, M. and Arnold, D. and Breaden, C. and Sankur, M.D. and Callaway, D.S. and MacDonald, J.},\n  year = {2020},\n  doi = {10.1109/ISGT45199.2020.9087767},\n  abstract = {Paradigm shifts in electricity generation are leading to more renewable and distributed energy resources (DER) on the grid. There is a strong interest to utilize these resources for various grid services, but the practicality of commanding multiple DER is often an obstacle to such approaches. In this article, we seek to validate through Hardware-in-the-Loop (HIL) simulation an extremum seeking (ES) based control scheme proposed in previous work. The method aggregates and coordinates multiple distributed controllers to offer transmission grid level services. The HIL validation uses a prototype real-time implementation of the controller's logic on distributed devices and photovoltaic (PV) inverters operating on a simulated utility distribution feeder. Several grid services, including load following and voltage regulation, were validated to demonstrate the deployment feasibility of the ES control approach on equipment already installed on the grid.},\n  copyright = {All rights reserved},\n  isbn = {978-1-72813-103-0},\n  keywords = {DERMS,Distributed energy resources,Model-free control,Optimal control,Voltage regulation}\n}\n\n
\n
\n\n\n
\n Paradigm shifts in electricity generation are leading to more renewable and distributed energy resources (DER) on the grid. There is a strong interest to utilize these resources for various grid services, but the practicality of commanding multiple DER is often an obstacle to such approaches. In this article, we seek to validate through Hardware-in-the-Loop (HIL) simulation an extremum seeking (ES) based control scheme proposed in previous work. The method aggregates and coordinates multiple distributed controllers to offer transmission grid level services. The HIL validation uses a prototype real-time implementation of the controller's logic on distributed devices and photovoltaic (PV) inverters operating on a simulated utility distribution feeder. Several grid services, including load following and voltage regulation, were validated to demonstrate the deployment feasibility of the ES control approach on equipment already installed on the grid.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Implementation of an Extremum Seeking Controller for Distributed Energy Resources: Practical Considerations.\n \n \n \n\n\n \n Baudette, M.; Sankur, M.; Breaden, C.; Arnold, D.; Callaway, D.; and Macdonald, J.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2020-Augus, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{baudetteImplementationExtremumSeeking2020,\n  title = {Implementation of an Extremum Seeking Controller for Distributed Energy Resources: {{Practical}} Considerations},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Baudette, M. and Sankur, M.D. and Breaden, C. and Arnold, D. and Callaway, D.S. and Macdonald, J.},\n  year = {2020},\n  volume = {2020-Augus},\n  issn = {19449933},\n  doi = {10.1109/PESGM41954.2020.9281991},\n  abstract = {The transition to renewable energy sources induces new challenges in operating the power system. In previous work, we explored an extremum seeking-based control scheme to aggregate and manage distributed energy resources and operate them similarly to more conventional dispatchable resources. In this paper, we focused on implementing this control scheme in a realistic environment including readily available commercial equipment. Here, we explore the limitations of existing hardware and relate the choices that were made to achieve a functioning proof of concept implementation.},\n  copyright = {All rights reserved},\n  isbn = {978-1-72815-508-1},\n  keywords = {DERMS,Extremum seeking,Hardware-in-the-Loop,Model-free control}\n}\n\n
\n
\n\n\n
\n The transition to renewable energy sources induces new challenges in operating the power system. In previous work, we explored an extremum seeking-based control scheme to aggregate and manage distributed energy resources and operate them similarly to more conventional dispatchable resources. In this paper, we focused on implementing this control scheme in a realistic environment including readily available commercial equipment. Here, we explore the limitations of existing hardware and relate the choices that were made to achieve a functioning proof of concept implementation.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss.\n \n \n \n\n\n \n Sankur, M.; Baudette, M.; MacDonald, J.; and Arnold, D.\n\n\n \n\n\n\n In Proceedings of the Annual Hawaii International Conference on System Sciences, volume 2020-Janua, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{sankurBatchMeasurementExtremum2020,\n  title = {Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss},\n  booktitle = {Proceedings of the {{Annual Hawaii International Conference}} on {{System Sciences}}},\n  author = {Sankur, M.D. and Baudette, M. and MacDonald, J.S. and Arnold, D.B.},\n  year = {2020},\n  volume = {2020-Janua},\n  issn = {15301605},\n  abstract = {Distributed Energy Resources (DER) have great potential to enhance the operation of electric power distribution systems. Previously, we explored the use of 2 Dimensional Extremum Seeking (2D-ES) control algorithms to enable model-free optimal control of DER to provide grid services to both the distribution and transmissions systems. Motivated by preliminary deployments of DER managed by 2D-ES algorithms in hardware-in-the-loop tests and in operational distribution grids, in this work, we extend the control scheme to accommodate communication delays and information loss. We propose a modification to the 2D-ES scheme to allow for the processing of batches of possibly noncontiguous objective function measurements at unknown and possibly uneven intervals. We provide a proof of the convergence of the batch 2D-ES (2D-BES) scheme when optimizing a generic convex objective function, as well as simulation results that demonstrate the suitability of the approach for substation active and reactive power target tracking.},\n  copyright = {All rights reserved},\n  isbn = {978-0-9981331-3-3}\n}\n\n
\n
\n\n\n
\n Distributed Energy Resources (DER) have great potential to enhance the operation of electric power distribution systems. Previously, we explored the use of 2 Dimensional Extremum Seeking (2D-ES) control algorithms to enable model-free optimal control of DER to provide grid services to both the distribution and transmissions systems. Motivated by preliminary deployments of DER managed by 2D-ES algorithms in hardware-in-the-loop tests and in operational distribution grids, in this work, we extend the control scheme to accommodate communication delays and information loss. We propose a modification to the 2D-ES scheme to allow for the processing of batches of possibly noncontiguous objective function measurements at unknown and possibly uneven intervals. We provide a proof of the convergence of the batch 2D-ES (2D-BES) scheme when optimizing a generic convex objective function, as well as simulation results that demonstrate the suitability of the approach for substation active and reactive power target tracking.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2018\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Utilizing Synchrophasor-Based Supplementary Damping Control Signals in Conventional Generator Excitation Systems.\n \n \n \n\n\n \n Almas, M.; Baudette, M.; and Vanfretti, L.\n\n\n \n\n\n\n Electric Power Systems Research, 157. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{almasUtilizingSynchrophasorbasedSupplementary2018,\n  title = {Utilizing Synchrophasor-Based Supplementary Damping Control Signals in Conventional Generator Excitation Systems},\n  author = {Almas, M.S. and Baudette, M. and Vanfretti, L.},\n  year = {2018},\n  journal = {Electric Power Systems Research},\n  volume = {157},\n  issn = {03787796},\n  doi = {10.1016/j.epsr.2017.12.004},\n  abstract = {A supplementary function of Excitation Control Systems (ECSs) for synchronous generators is that of a Power System Stabilizer (PSS). The PSS implementation in these ECSs only allows the use of a limited type of pre-defined local input measurements and built-in PSS algorithms. To adapt existing ECSs to take advantage of synchrophasors technology, this paper proposes and implements a prototype wide-area damping controller (WADC) that provides synchrophasor-based damping input signals to existing ECSs. The developed WADC comprise (i) a real-time mode estimation module, (ii) synchrophasor's communication latency computation module, and (iii) phasor-based oscillation damping algorithm executing in a real-time hardware prototype controller. Through Real-Time Hardware-in-the-Loop (RT-HIL) simulations, it is demonstrated that synchrophasor-based damping signals from the WADC can be utilized together with a commercial ECS, thus providing new options for selection of the best feedback signal for oscillation damping.},\n  copyright = {All rights reserved},\n  keywords = {Damping control,Excitation Control System,Latency compensation,Phasor measurement units,Power System Stabilizer,Real-Time Hardware-in-the-Loop simulation,Synchrophasors}\n}\n\n
\n
\n\n\n
\n A supplementary function of Excitation Control Systems (ECSs) for synchronous generators is that of a Power System Stabilizer (PSS). The PSS implementation in these ECSs only allows the use of a limited type of pre-defined local input measurements and built-in PSS algorithms. To adapt existing ECSs to take advantage of synchrophasors technology, this paper proposes and implements a prototype wide-area damping controller (WADC) that provides synchrophasor-based damping input signals to existing ECSs. The developed WADC comprise (i) a real-time mode estimation module, (ii) synchrophasor's communication latency computation module, and (iii) phasor-based oscillation damping algorithm executing in a real-time hardware prototype controller. Through Real-Time Hardware-in-the-Loop (RT-HIL) simulations, it is demonstrated that synchrophasor-based damping signals from the WADC can be utilized together with a commercial ECS, thus providing new options for selection of the best feedback signal for oscillation damping.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Modeling and Simulation of a Hybrid Single-Phase/Three-Phase System in Modelica.\n \n \n \n\n\n \n Fernandes, M.; De Oliveira, J.; Vanfretti, L.; Baudette, M.; and Tomim, M.\n\n\n \n\n\n\n In SBSE 2018 - 7th Brazilian Electrical Systems Symposium, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{fernandesModelingSimulationHybrid2018,\n  title = {Modeling and Simulation of a Hybrid Single-Phase/Three-Phase System in Modelica},\n  booktitle = {{{SBSE}} 2018 - 7th {{Brazilian Electrical Systems Symposium}}},\n  author = {Fernandes, M.D.C. and De Oliveira, J.G. and Vanfretti, L. and Baudette, M. and Tomim, M.A.},\n  year = {2018},\n  doi = {10.1109/SBSE.2018.8395775},\n  abstract = {Power system studies seldom consider the interaction between transmission and distribution systems. This sort of analysis, however, have been gaining importance due to the progressive growth of renewable energy penetration in the distribution networks. In this context, the current study combines a positive-sequence transmission system model with a three-phase distribution system model. The connection between both systems is attained by a hybrid three-phase to single-phase interface element. The system model is written in Modelica language, and simulated using OpenModelica. A test system is built o top of the IEEE14 test system, where two load buses are expanded into three-phase distribution systems. Results of studied system are validated against the power system simulator, Simulight. Results also renders the presently analyzed hybrid model very promising for complimenting modern power systems studies.},\n  copyright = {All rights reserved},\n  isbn = {978-1-5386-3363-2},\n  keywords = {Distribution,Modelica,Power system simulation,Transmission}\n}\n\n
\n
\n\n\n
\n Power system studies seldom consider the interaction between transmission and distribution systems. This sort of analysis, however, have been gaining importance due to the progressive growth of renewable energy penetration in the distribution networks. In this context, the current study combines a positive-sequence transmission system model with a three-phase distribution system model. The connection between both systems is attained by a hybrid three-phase to single-phase interface element. The system model is written in Modelica language, and simulated using OpenModelica. A test system is built o top of the IEEE14 test system, where two load buses are expanded into three-phase distribution systems. Results of studied system are validated against the power system simulator, Simulight. Results also renders the presently analyzed hybrid model very promising for complimenting modern power systems studies.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Implementation of a Continuous Integration Workflow for a Power System Modelica Library.\n \n \n \n\n\n \n Rabuzin, T.; Baudette, M.; and Vanfretti, L.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2018-Janua, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{rabuzinImplementationContinuousIntegration2018,\n  title = {Implementation of a Continuous Integration Workflow for a Power System {{Modelica}} Library},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Rabuzin, T. and Baudette, M. and Vanfretti, L.},\n  year = {2018},\n  volume = {2018-Janua},\n  issn = {19449933},\n  doi = {10.1109/PESGM.2017.8274618},\n  abstract = {Traditional simulation tools for power system studies are, in general, shipped with built-in and closed model libraries. Typically, the models' implementation is not thoroughly documented, preventing the user to gain a full understanding of their implemented behavior. Previous efforts from the authors have focused on the development of an open source software library of power system components developed using Modelica: the Open-Instance Power System Library (OpenIPSL), which provides models that can easily be accessed and studied by the user. Recent developments have focused on the implementation of a software architecture facilitating collaborative developments on OpenIPSL. Employing the latest technologies available in the software development community, this paper details the implementation of a continuous integration workflow, providing automated testing and behavior verification of the library's models. This platform seeks to increase the library's stability and to provide more reliable models developed collaboratively by multiple individuals. Moreover, this software architecture only utilizes open source software, which can be fully tailored to the specific needs of users and other library developers.},\n  copyright = {All rights reserved},\n  isbn = {978-1-5386-2212-4},\n  keywords = {Continuous integration,Model validation,Modelica,Power system modeling,Power system simulation,Testing}\n}\n\n
\n
\n\n\n
\n Traditional simulation tools for power system studies are, in general, shipped with built-in and closed model libraries. Typically, the models' implementation is not thoroughly documented, preventing the user to gain a full understanding of their implemented behavior. Previous efforts from the authors have focused on the development of an open source software library of power system components developed using Modelica: the Open-Instance Power System Library (OpenIPSL), which provides models that can easily be accessed and studied by the user. Recent developments have focused on the implementation of a software architecture facilitating collaborative developments on OpenIPSL. Employing the latest technologies available in the software development community, this paper details the implementation of a continuous integration workflow, providing automated testing and behavior verification of the library's models. This platform seeks to increase the library's stability and to provide more reliable models developed collaboratively by multiple individuals. Moreover, this software architecture only utilizes open source software, which can be fully tailored to the specific needs of users and other library developers.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The STRONgrid Library: A Modular and Extensible Software Library for IEEE C37.118.2 Compliant Synchrophasor Data Mediation.\n \n \n \n\n\n \n Baudette, M.; Firouzi, S.; and Vanfretti, L.\n\n\n \n\n\n\n SoftwareX, 7. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{strongrid_dll_softx,\n  title = {The {{STRONgrid}} Library: {{A}} Modular and Extensible Software Library for {{IEEE C37}}.118.2 Compliant Synchrophasor Data Mediation},\n  author = {Baudette, M. and Firouzi, S.R. and Vanfretti, L.},\n  year = {2018},\n  journal = {SoftwareX},\n  volume = {7},\n  issn = {23527110},\n  doi = {10.1016/j.softx.2018.08.001},\n  abstract = {The electric power grids expose highly dynamic behaviors that can be mitigated by exploiting Wide-Area Monitoring, Protection And Control (WAMPAC) technologies. These technologies rely on utilizing the synchrophasor measurements provided by the Phasor Measurement Units (PMUs). The IEEE C37.118.2 standard defines a method for real-time communication of synchrophasor data between PMUs, Phasor Data Concentrators (PDCs) and other applications. This paper describes the Smart Transmission Grid Operation and Control (STRONgrid) library, which serves as a real-time data mediator (i.e. interface) between the IEEE C37.118.2 protocol and applications consuming PMU measurements. The STRONgrid library packages all the necessary components to allow the researchers to focus on the development of synchrophasor applications in higher level programming environments (e.g. LabVIEW).},\n  copyright = {All rights reserved},\n  keywords = {IEEE C37.118.2,PDC,PMU,Synchrophasors,WAMPAC}\n}\n\n
\n
\n\n\n
\n The electric power grids expose highly dynamic behaviors that can be mitigated by exploiting Wide-Area Monitoring, Protection And Control (WAMPAC) technologies. These technologies rely on utilizing the synchrophasor measurements provided by the Phasor Measurement Units (PMUs). The IEEE C37.118.2 standard defines a method for real-time communication of synchrophasor data between PMUs, Phasor Data Concentrators (PDCs) and other applications. This paper describes the Smart Transmission Grid Operation and Control (STRONgrid) library, which serves as a real-time data mediator (i.e. interface) between the IEEE C37.118.2 protocol and applications consuming PMU measurements. The STRONgrid library packages all the necessary components to allow the researchers to focus on the development of synchrophasor applications in higher level programming environments (e.g. LabVIEW).\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Audur—A Platform for Synchrophasor-Based Power System Wide-Area Control System Implementation.\n \n \n \n\n\n \n Vanfretti, L.; Jónsdóttir, G.; Almas, M.; Rebello, E.; Firouzi, S.; and Baudette, M.\n\n\n \n\n\n\n SoftwareX, 7. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{vanfrettiAudurPlatformSynchrophasorbased2018,\n  title = {Audur\\textemdash{{A}} Platform for Synchrophasor-Based Power System Wide-Area Control System Implementation},\n  author = {Vanfretti, L. and J{\\'o}nsd{\\'o}ttir, G.M. and Almas, M.S. and Rebello, E. and Firouzi, S.R. and Baudette, M.},\n  year = {2018},\n  journal = {SoftwareX},\n  volume = {7},\n  issn = {23527110},\n  doi = {10.1016/j.softx.2018.08.003},\n  abstract = {Electrical power systems continue to grow in size and complexity, resulting in new challenges to control and stabilize them. Measurement based Wide-Area Control Systems (WACS) have been extensively researched in the last decade to enhance power system stability. However, very few WACS implementations in the field have been carried out so far. To bridge this gap the LabVIEW package, Audur, presented in this paper, allows users to easily implement their custom WACS design on a National Instruments hardware platform. The hardware controller receives synchrophasor measurements compliant with the IEEE C37.118.2 protocol and generates a control signal that, in principle, can be configured as a supplementary control system to drive any active component in the power system.},\n  copyright = {All rights reserved},\n  keywords = {Inter-area oscillations,Oscillation damping,Power systems,Synchrophasors,Wide-area control systems}\n}\n\n
\n
\n\n\n
\n Electrical power systems continue to grow in size and complexity, resulting in new challenges to control and stabilize them. Measurement based Wide-Area Control Systems (WACS) have been extensively researched in the last decade to enhance power system stability. However, very few WACS implementations in the field have been carried out so far. To bridge this gap the LabVIEW package, Audur, presented in this paper, allows users to easily implement their custom WACS design on a National Instruments hardware platform. The hardware controller receives synchrophasor measurements compliant with the IEEE C37.118.2 protocol and generates a control signal that, in principle, can be configured as a supplementary control system to drive any active component in the power system.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2017\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n BabelFish—Tools for IEEE C37.118.2-Compliant Real-Time Synchrophasor Data Mediation.\n \n \n \n\n\n \n Almas, M.; Vanfretti, L.; and Baudette, M.\n\n\n \n\n\n\n SoftwareX, 6. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{almasBabelFishToolsIEEE2017,\n  title = {{{BabelFish}}\\textemdash{{Tools}} for {{IEEE C37}}.118.2-Compliant Real-Time Synchrophasor Data Mediation},\n  author = {Almas, M.S. and Vanfretti, L. and Baudette, M.},\n  year = {2017},\n  journal = {SoftwareX},\n  volume = {6},\n  issn = {23527110},\n  doi = {10.1016/j.softx.2017.08.002},\n  abstract = {BabelFish (BF) is a real-time data mediator for development and fast prototyping of synchrophasor applications. BF is compliant with the synchrophasor data transmission IEEE Std C37.118.2-2011. BF establishes a TCP/IP connection with any Phasor Measurement Unit (PMU) or Phasor Data Concentrator (PDC) stream and parses the IEEE Std C37.118.2-2011 frames in real-time to provide access to raw numerical data in the LabVIEW environment. Furthermore, BF allows the user to select ``data-of-interest'' and transmit it to either a local or remote application using the User Datagram Protocol (UDP) in order to support both unicast and multicast communication. In the power systems Wide Area Monitoring Protection and Control (WAMPAC) domain, BF provides the first Free/Libre and Open Source Software (FLOSS) for the purpose of giving the users tools for fast prototyping of new applications processing PMU measurements in their chosen environment, thus liberating them of time consuming synchrophasor data handling and allowing them to develop applications in a modular fashion, without a need of a large and monolithic synchrophasor software environment.},\n  copyright = {All rights reserved},\n  keywords = {IEEE Std C37.118.2-2011,LabVIEW,Phasor data concentrator,Phasor measurement unit,Standard implementation,Synchrophasors,WACS,WAMPAC,WAMS,WAPS}\n}\n\n
\n
\n\n\n
\n BabelFish (BF) is a real-time data mediator for development and fast prototyping of synchrophasor applications. BF is compliant with the synchrophasor data transmission IEEE Std C37.118.2-2011. BF establishes a TCP/IP connection with any Phasor Measurement Unit (PMU) or Phasor Data Concentrator (PDC) stream and parses the IEEE Std C37.118.2-2011 frames in real-time to provide access to raw numerical data in the LabVIEW environment. Furthermore, BF allows the user to select ``data-of-interest'' and transmit it to either a local or remote application using the User Datagram Protocol (UDP) in order to support both unicast and multicast communication. In the power systems Wide Area Monitoring Protection and Control (WAMPAC) domain, BF provides the first Free/Libre and Open Source Software (FLOSS) for the purpose of giving the users tools for fast prototyping of new applications processing PMU measurements in their chosen environment, thus liberating them of time consuming synchrophasor data handling and allowing them to develop applications in a modular fashion, without a need of a large and monolithic synchrophasor software environment.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Monitoring and Control of Renewable Energy Sources Using Synchronized Phasor Measurements.\n \n \n \n\n\n \n Vanfretti, L.; Baudette, M.; and White, A.\n\n\n \n\n\n\n 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@book{vanfrettiMonitoringControlRenewable2017,\n  title = {Monitoring and {{Control}} of {{Renewable Energy Sources}} Using {{Synchronized Phasor Measurements}}},\n  author = {Vanfretti, L. and Baudette, M. and White, A.D.},\n  year = {2017},\n  journal = {Renewable Energy Integration: Practical Management of Variability, Uncertainty, and Flexibility in Power Grids: Second Edition},\n  doi = {10.1016/B978-0-12-809592-8.00031-7},\n  abstract = {The share of wind power has strongly increased in electricity production, raising several issues concerning its integration to power grids. Unexpected dynamic phenomena, such as oscillatory events around 13 Hz have been recorded in the US by Oklahoma Gas \\& Electric (OG\\&E). Such interactions differ from traditional and well studied inter-area oscillations, and the ability to detect them is beyond the measurement capabilities of most of the existing measurement equipment and monitoring tools in Energy Management Systems (EMS) systems. This chapter presents the development and implementation of algorithms for fast oscillation detection, focusing on the aforementioned case. It proposes two solutions for real-time monitoring application that exploits synchronized phasor measurements allowing real-time analysis of sub-synchronous wind farm dynamics. These tools were built as prototypes for real-time application which utilizes Phasor Measurement Unit (PMU) data for enhanced monitoring and control of wind farms. The software tools developed in the chapter serve as evidence of the flexibility offered by non-conventional software development systems for PMU applications which provide unlimited opportunities to conceive new software tools that will aid with the integration and management of renewable resources into power grids.},\n  copyright = {All rights reserved},\n  isbn = {978-0-12-809592-8},\n  keywords = {Monitoring applications,PMU,Power system oscillations,Renewable energy resources,Sub-synchronous oscillations,Synchronized phasor measurements,Wind farm}\n}\n\n
\n
\n\n\n
\n The share of wind power has strongly increased in electricity production, raising several issues concerning its integration to power grids. Unexpected dynamic phenomena, such as oscillatory events around 13 Hz have been recorded in the US by Oklahoma Gas & Electric (OG&E). Such interactions differ from traditional and well studied inter-area oscillations, and the ability to detect them is beyond the measurement capabilities of most of the existing measurement equipment and monitoring tools in Energy Management Systems (EMS) systems. This chapter presents the development and implementation of algorithms for fast oscillation detection, focusing on the aforementioned case. It proposes two solutions for real-time monitoring application that exploits synchronized phasor measurements allowing real-time analysis of sub-synchronous wind farm dynamics. These tools were built as prototypes for real-time application which utilizes Phasor Measurement Unit (PMU) data for enhanced monitoring and control of wind farms. The software tools developed in the chapter serve as evidence of the flexibility offered by non-conventional software development systems for PMU applications which provide unlimited opportunities to conceive new software tools that will aid with the integration and management of renewable resources into power grids.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n An Open Data Repository and a Data Processing Software Toolset of an Equivalent Nordic Grid Model Matched to Historical Electricity Market Data.\n \n \n \n\n\n \n Vanfretti, L.; Olsen, S.; Arava, V.; Laera, G.; Bidadfar, A.; Rabuzin, T.; Jakobsen, S.; Lavenius, J.; Baudette, M.; and Gómez-López, F.\n\n\n \n\n\n\n Data in Brief, 11. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{vanfrettiOpenDataRepository2017,\n  title = {An Open Data Repository and a Data Processing Software Toolset of an Equivalent {{Nordic}} Grid Model Matched to Historical Electricity Market Data},\n  author = {Vanfretti, L. and Olsen, S.H. and Arava, V.S.N. and Laera, G. and Bidadfar, A. and Rabuzin, T. and Jakobsen, S.H. and Lavenius, J. and Baudette, M. and {G{\\'o}mez-L{\\'o}pez}, F.J.},\n  year = {2017},\n  journal = {Data in Brief},\n  volume = {11},\n  issn = {23523409},\n  doi = {10.1016/j.dib.2017.02.021},\n  abstract = {This article presents an open data repository, the methodology to generate it and the associated data processing software developed to consolidate an hourly snapshot historical data set for the year 2015 to an equivalent Nordic power grid model (aka Nordic 44), the consolidation was achieved by matching the model׳s physical response w.r.t historical power flow records in the bidding regions of the Nordic grid that are available from the Nordic electricity market agent, Nord Pool. The model is made available in the form of CIM v14, Modelica and PSS/E (Siemens PTI) files. The Nordic 44 model in Modelica and PSS/E were first presented in the paper titled ``iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations'' (Vanfretti et al., 2016) [1] for a single snapshot. In the digital repository being made available with the submission of this paper (SmarTSLab\\_Nordic44 Repository at Github, 2016) [2], a total of 8760 snapshots (for the year 2015) that can be used to initialize and execute dynamic simulations using tools compatible with CIM v14, the Modelica language and the proprietary PSS/E tool are provided. The Python scripts to generate the snapshots (processed data) are also available with all the data in the GitHub repository (SmarTSLab\\_Nordic44 Repository at Github, 2016) [2]. This Nordic 44 equivalent model was also used in iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4], and has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. The raw, processed data and output models utilized within the iTesla platform (iTesla, 2016) [4] are also available in the repository. The CIM and Modelica snapshots of the ``Nordic 44'' model for the year 2015 are available in a Zenodo repository.},\n  copyright = {All rights reserved},\n  keywords = {Common Information Model (CIM),Dynamic simulations,Electric power transmission,Electrical power systems,Historical market data,Modelica,Modeling,Power flow,Power system dynamics,Power system modeling and simulation,Simulation,Smart grid}\n}\n\n
\n
\n\n\n
\n This article presents an open data repository, the methodology to generate it and the associated data processing software developed to consolidate an hourly snapshot historical data set for the year 2015 to an equivalent Nordic power grid model (aka Nordic 44), the consolidation was achieved by matching the model׳s physical response w.r.t historical power flow records in the bidding regions of the Nordic grid that are available from the Nordic electricity market agent, Nord Pool. The model is made available in the form of CIM v14, Modelica and PSS/E (Siemens PTI) files. The Nordic 44 model in Modelica and PSS/E were first presented in the paper titled ``iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations'' (Vanfretti et al., 2016) [1] for a single snapshot. In the digital repository being made available with the submission of this paper (SmarTSLab_Nordic44 Repository at Github, 2016) [2], a total of 8760 snapshots (for the year 2015) that can be used to initialize and execute dynamic simulations using tools compatible with CIM v14, the Modelica language and the proprietary PSS/E tool are provided. The Python scripts to generate the snapshots (processed data) are also available with all the data in the GitHub repository (SmarTSLab_Nordic44 Repository at Github, 2016) [2]. This Nordic 44 equivalent model was also used in iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4], and has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. The raw, processed data and output models utilized within the iTesla platform (iTesla, 2016) [4] are also available in the repository. The CIM and Modelica snapshots of the ``Nordic 44'' model for the year 2015 are available in a Zenodo repository.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2016\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n 'In Silico' Testing of a Real-Time PMU-based Tool for Power System Mode Estimation.\n \n \n \n\n\n \n Baudette, M.; Singh, R.; Peric, V.; Lovlund, S.; and Vanfretti, L.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2016-Novem, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{baudetteSilicoTestingRealtime2016,\n  title = {'{{In}} Silico' Testing of a Real-Time {{PMU-based}} Tool for Power System Mode Estimation},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Baudette, M. and Singh, R.S. and Peric, V.S. and Lovlund, S. and Vanfretti, L.},\n  year = {2016},\n  volume = {2016-Novem},\n  issn = {19449933},\n  doi = {10.1109/PESGM.2016.7741638},\n  abstract = {This paper presents an overview of the software implementation of a real-time mode estimator application and its testing. The application was developed to estimate inter-area modes from both ambient and ring-down synchrophasor data from multiple phasor measurement units (PMU). The software application was implemented in LabVIEW using Statnett's synchrophasor software development kit (S3DK), to receive real-time synchrophasor measurements. The different features of the application were tested using two types of experiments presented herein. The first experiment is performed using emulated signals from a simple linear model. The second experiment was designed to use a linearized representation of the KTH-Nordic32 power system model. These experiments are used to carry out quantitative analyses of the tool's performance.},\n  copyright = {All rights reserved},\n  isbn = {978-1-5090-4168-8},\n  keywords = {Inter-area oscillations,Mode estimation,Phasor measurement units,s3dk,Synchrophasors}\n}\n\n
\n
\n\n\n
\n This paper presents an overview of the software implementation of a real-time mode estimator application and its testing. The application was developed to estimate inter-area modes from both ambient and ring-down synchrophasor data from multiple phasor measurement units (PMU). The software application was implemented in LabVIEW using Statnett's synchrophasor software development kit (S3DK), to receive real-time synchrophasor measurements. The different features of the application were tested using two types of experiments presented herein. The first experiment is performed using emulated signals from a simple linear model. The second experiment was designed to use a linearized representation of the KTH-Nordic32 power system model. These experiments are used to carry out quantitative analyses of the tool's performance.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n RT-HIL Hardware Prototyping of Synchrophasor and Active Load-Based Power System Oscillation Damping Controllers.\n \n \n \n\n\n \n Jonsdottir, G.; Almas, M.; Baudette, M.; Palsson, M.; and Vanfretti, L.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2016-Novem, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{jonsdottirRTHILHardwarePrototyping2016,\n  title = {{{RT-HIL}} Hardware Prototyping of Synchrophasor and Active Load-Based Power System Oscillation Damping Controllers},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Jonsdottir, G.M. and Almas, M.S. and Baudette, M. and Palsson, M.P. and Vanfretti, L.},\n  year = {2016},\n  volume = {2016-Novem},\n  issn = {19449933},\n  doi = {10.1109/PESGM.2016.7741307},\n  abstract = {The Icelandic power system is characterized by two areas that oscillate against each other during stressed system operation, and may lead to an islanding of system. Conventional stabilizing methods are being used to their full capacity, thus new options are being explored to prevent system break-ups. There is potential in exploiting large industrial loads to enhance system stability. In this paper a hardware prototype of a synchrophasor-based active load controller for oscillation damping is presented. The performance of the controller is analysed using Real-Time Hardware-in-the-Loop (RT-HIL) approach.},\n  copyright = {All rights reserved},\n  isbn = {978-1-5090-4168-8},\n  keywords = {Active Load Control,Hardware Prototype,Oscillation Damping,Phasor Measurement Unit,Real-Time Hardware-in-the-Loop,s3dk,Wide-Area Control System}\n}\n\n
\n
\n\n\n
\n The Icelandic power system is characterized by two areas that oscillate against each other during stressed system operation, and may lead to an islanding of system. Conventional stabilizing methods are being used to their full capacity, thus new options are being explored to prevent system break-ups. There is potential in exploiting large industrial loads to enhance system stability. In this paper a hardware prototype of a synchrophasor-based active load controller for oscillation damping is presented. The performance of the controller is analysed using Real-Time Hardware-in-the-Loop (RT-HIL) approach.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n 'In Silico' Testing of a Decentralized PMU Data-Based Power Systems Mode Estimator.\n \n \n \n\n\n \n Singh, R.; Baudette, M.; Hooshyar, H.; Vanfretti, L.; Almas, M.; and Løvlund, S.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2016-Novem, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{singhSilicoTestingDecentralized2016,\n  title = {'{{In}} Silico' Testing of a Decentralized {{PMU}} Data-Based Power Systems Mode Estimator},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Singh, R.S. and Baudette, M. and Hooshyar, H. and Vanfretti, L. and Almas, M.S. and L{\\o}vlund, S.},\n  year = {2016},\n  volume = {2016-Novem},\n  issn = {19449933},\n  doi = {10.1109/PESGM.2016.7741392},\n  abstract = {This paper presents the software implementation of a Phasor Measurement Unit (PMU) data-based mode estimation application in a decentralized mode estimation architecture. This work builds from previous efforts in the development of a mode estimator implemented using a centralized architecture, meaning a set of modes were estimated for the whole system in a single processing location. One drawback of mode estimators that use centralized mode architecture is that the observability and therefore estimation of important low-damped local electromechanical modes can be affected by the higher observability of other dominant modes of the systems (e.g inter-area modes). This work proposes, implements and tests a decentralized architecture in order to increase the observation capability to provide better estimates of local low damped oscillations. In this architecture, the data from a single PMU or a group of local PMUs could be processed by a processor to estimate the modal parameters observed at a specific part of the grid or observed by specific group of PMUs. The decentralized architecture and results of tests are presented in this paper together with comparison with a centralized architecture.},\n  copyright = {All rights reserved},\n  isbn = {978-1-5090-4168-8},\n  keywords = {Decentrlized Mode Estimation,Inter-area Oscillations,Mode Estimation,Phasor Measurement Unit (PMU)}\n}\n\n
\n
\n\n\n
\n This paper presents the software implementation of a Phasor Measurement Unit (PMU) data-based mode estimation application in a decentralized mode estimation architecture. This work builds from previous efforts in the development of a mode estimator implemented using a centralized architecture, meaning a set of modes were estimated for the whole system in a single processing location. One drawback of mode estimators that use centralized mode architecture is that the observability and therefore estimation of important low-damped local electromechanical modes can be affected by the higher observability of other dominant modes of the systems (e.g inter-area modes). This work proposes, implements and tests a decentralized architecture in order to increase the observation capability to provide better estimates of local low damped oscillations. In this architecture, the data from a single PMU or a group of local PMUs could be processed by a processor to estimate the modal parameters observed at a specific part of the grid or observed by specific group of PMUs. The decentralized architecture and results of tests are presented in this paper together with comparison with a centralized architecture.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n iTesla Power Systems Library (iPSL): A Modelica Library for Phasor Time-Domain Simulations.\n \n \n \n\n\n \n Vanfretti, L.; Rabuzin, T.; Baudette, M.; and Murad, M.\n\n\n \n\n\n\n SoftwareX, 5. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{vanfrettiITeslaPowerSystems2016,\n  title = {{{iTesla Power Systems Library}} ({{iPSL}}): {{A Modelica}} Library for Phasor Time-Domain Simulations},\n  author = {Vanfretti, L. and Rabuzin, T. and Baudette, M. and Murad, M.},\n  year = {2016},\n  journal = {SoftwareX},\n  volume = {5},\n  issn = {23527110},\n  doi = {10.1016/j.softx.2016.05.001},\n  abstract = {The iTesla Power Systems Library (iPSL) is a Modelica package providing a set of power system components for phasor time-domain modeling and simulation. The Modelica language provides a systematic approach to develop models using a formal mathematical description, that uniquely specifies the physical behavior of a component or the entire system. Furthermore, the standardized specification of the Modelica language (Modelica Association [1]) enables unambiguous model exchange by allowing any Modelica-compliant tool to utilize the models for simulation and their analyses without the need of a specific model transformation tool. As the Modelica language is being developed with open specifications, any tool that implements these requirements can be utilized. This gives users the freedom of choosing an Integrated Development Environment (IDE) of their choice. Furthermore, any integration solver can be implemented within a Modelica tool to simulate Modelica models. Additionally, Modelica is an object-oriented language, enabling code factorization and model re-use to improve the readability of a library by structuring it with object-oriented hierarchy. The developed library is released under an open source license to enable a wider distribution and let the user customize it to their specific needs. This paper describes the iPSL and provides illustrative application examples.},\n  copyright = {All rights reserved},\n  keywords = {Modelica,Power system,Simulation}\n}\n\n
\n
\n\n\n
\n The iTesla Power Systems Library (iPSL) is a Modelica package providing a set of power system components for phasor time-domain modeling and simulation. The Modelica language provides a systematic approach to develop models using a formal mathematical description, that uniquely specifies the physical behavior of a component or the entire system. Furthermore, the standardized specification of the Modelica language (Modelica Association [1]) enables unambiguous model exchange by allowing any Modelica-compliant tool to utilize the models for simulation and their analyses without the need of a specific model transformation tool. As the Modelica language is being developed with open specifications, any tool that implements these requirements can be utilized. This gives users the freedom of choosing an Integrated Development Environment (IDE) of their choice. Furthermore, any integration solver can be implemented within a Modelica tool to simulate Modelica models. Additionally, Modelica is an object-oriented language, enabling code factorization and model re-use to improve the readability of a library by structuring it with object-oriented hierarchy. The developed library is released under an open source license to enable a wider distribution and let the user customize it to their specific needs. This paper describes the iPSL and provides illustrative application examples.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n RAPID: A Modular and Extensible Toolbox for Parameter Estimation of Modelica and FMI Compliant Models.\n \n \n \n\n\n \n Vanfretti, L.; Baudette, M.; Amazouz, A.; Bogodorova, T.; Rabuzin, T.; Lavenius, J.; and Goméz-López, F.\n\n\n \n\n\n\n SoftwareX, 5. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{vanfrettiRAPIDModularExtensible2016,\n  title = {{{RAPID}}: {{A}} Modular and Extensible Toolbox for Parameter Estimation of {{Modelica}} and {{FMI}} Compliant Models},\n  author = {Vanfretti, L. and Baudette, M. and Amazouz, A. and Bogodorova, T. and Rabuzin, T. and Lavenius, J. and {Gom{\\'e}z-L{\\'o}pez}, F.J.},\n  year = {2016},\n  journal = {SoftwareX},\n  volume = {5},\n  issn = {23527110},\n  doi = {10.1016/j.softx.2016.07.004},\n  abstract = {This paper describes the RApid Parameter IDentification toolbox (RAPID), developed within the EU FP7 iTesla project. The toolbox was designed to carry out parameter identification on models developed using the Modelica language, focusing in particular on power system model identification needs. The toolbox has been developed with modularity and extensibility in mind, using MATLAB/SIMULINK as a plug-in environment, where different tasks of the identification process are carried out. The identification process uses different optimization algorithms to improve the fitting of the model's response to selected criteria. The modular architecture of RAPID gives users complete freedom to extend and adapt the software to their needs, e.g. to implement or link external solvers for simulation or optimization. The compatibility with Modelica models is brought by the use of technologies compliant with the Functional Mock-up Interface (FMI) standard.},\n  copyright = {All rights reserved},\n  keywords = {FMI,Model validation,Modelica,System identification}\n}\n\n
\n
\n\n\n
\n This paper describes the RApid Parameter IDentification toolbox (RAPID), developed within the EU FP7 iTesla project. The toolbox was designed to carry out parameter identification on models developed using the Modelica language, focusing in particular on power system model identification needs. The toolbox has been developed with modularity and extensibility in mind, using MATLAB/SIMULINK as a plug-in environment, where different tasks of the identification process are carried out. The identification process uses different optimization algorithms to improve the fitting of the model's response to selected criteria. The modular architecture of RAPID gives users complete freedom to extend and adapt the software to their needs, e.g. to implement or link external solvers for simulation or optimization. The compatibility with Modelica models is brought by the use of technologies compliant with the Functional Mock-up Interface (FMI) standard.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2015\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Specification, Implementation, and Hardware-in-the-Loop Real-Time Simulation of an Active Distribution Grid.\n \n \n \n\n\n \n Hooshyar, H.; Mahmood, F.; Vanfretti, L.; and Baudette, M.\n\n\n \n\n\n\n Sustainable Energy, Grids and Networks, 3. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{hooshyarSpecificationImplementationHardwareintheloop2015,\n  title = {Specification, Implementation, and Hardware-in-the-Loop Real-Time Simulation of an Active Distribution Grid},\n  author = {Hooshyar, H. and Mahmood, F. and Vanfretti, L. and Baudette, M.},\n  year = {2015},\n  journal = {Sustainable Energy, Grids and Networks},\n  volume = {3},\n  issn = {23524677},\n  doi = {10.1016/j.segan.2015.06.002},\n  abstract = {This paper presents the IDE4L project reference grid model developed to serve as a benchmark for studies on distribution grid dynamics within the project. The paper demonstrates a MATLAB/Simulink implementation of the reference grid to be used in real-time hardware-in-the-loop simulations. The simulations will be carried out to study distribution grid dynamics and to evaluate the techniques developed in IDE4L project for TSO/DSO interactions. Performance of the grid model is shown through sample real-time simulation results and a hardware-in-the-loop setup for PMU-based grid monitoring applications.},\n  copyright = {All rights reserved},\n  keywords = {Active distribution network,Dynamic performance,Hardware-in-the-loop,OPAL-RT,PMU,Real-time}\n}\n\n
\n
\n\n\n
\n This paper presents the IDE4L project reference grid model developed to serve as a benchmark for studies on distribution grid dynamics within the project. The paper demonstrates a MATLAB/Simulink implementation of the reference grid to be used in real-time hardware-in-the-loop simulations. The simulations will be carried out to study distribution grid dynamics and to evaluate the techniques developed in IDE4L project for TSO/DSO interactions. Performance of the grid model is shown through sample real-time simulation results and a hardware-in-the-loop setup for PMU-based grid monitoring applications.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n RT-SIL Performance Analysis of Synchrophasor-and-Active Load-Based Power System Damping Controllers.\n \n \n \n\n\n \n Jonsdottir, G.; Almas, M.; Baudette, M.; Palsson, M.; and Vanfretti, L.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2015-Septe, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{jonsdottirRTSILPerformanceAnalysis2015,\n  title = {{{RT-SIL}} Performance Analysis of Synchrophasor-and-Active Load-Based Power System Damping Controllers},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Jonsdottir, G.M. and Almas, M.S. and Baudette, M. and Palsson, M.P. and Vanfretti, L.},\n  year = {2015},\n  volume = {2015-Septe},\n  issn = {19449933},\n  doi = {10.1109/PESGM.2015.7286372},\n  abstract = {The Icelandic power network has transmission constraints that often lead to inter-area oscillations. Although conventional stabilization methods have been applied successfully in the past, there is potential to exploit large industrial loads to enhance system stability during stringent operation conditions. This paper analyzes the performance of two damping controllers. The controllers can use both synchrophasor signals and local measurements as their inputs. Damping is achieved by load modulation generated by a phasor-based oscillation signal. Real-Time Software-in-the-Loop testing is performed using Opal-RT's eMEGAsim Real-Time Simulator to derive hardware and computational requirements of a hardware prototype that will be implemented in the future.},\n  copyright = {All rights reserved},\n  isbn = {978-1-4673-8040-9},\n  keywords = {Active Load Control,Opal-RT,Power Oscillation Damping,Real-Time Simulation,SmarTS-Lab}\n}\n\n
\n
\n\n\n
\n The Icelandic power network has transmission constraints that often lead to inter-area oscillations. Although conventional stabilization methods have been applied successfully in the past, there is potential to exploit large industrial loads to enhance system stability during stringent operation conditions. This paper analyzes the performance of two damping controllers. The controllers can use both synchrophasor signals and local measurements as their inputs. Damping is achieved by load modulation generated by a phasor-based oscillation signal. Real-Time Software-in-the-Loop testing is performed using Opal-RT's eMEGAsim Real-Time Simulator to derive hardware and computational requirements of a hardware prototype that will be implemented in the future.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2014\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Synchrophasor Network, Laboratory and Software Applications Developed in the STRONg\\textsuperscript2rid Project.\n \n \n \n\n\n \n Almas, M.; Baudette, M.; Vanfretti, L.; Lovlund, S.; and Gjerde, J.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2014-Octob, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{almasSynchrophasorNetworkLaboratory2014,\n  title = {Synchrophasor Network, Laboratory and Software Applications Developed in the {{STRONg}}{\\textsuperscript{2}}rid Project},\n  booktitle = {{{IEEE Power}} and {{Energy Society General Meeting}}},\n  author = {Almas, M.S. and Baudette, M. and Vanfretti, L. and Lovlund, S. and Gjerde, J.O.},\n  year = {2014},\n  volume = {2014-Octob},\n  issn = {19449933},\n  doi = {10.1109/PESGM.2014.6938835},\n  abstract = {This paper presents the activities carried out in one of the work packages of the Nordic Energy Research funded project Smart Transmission Grid Operation and Control (STRONg2rid). The main objective of the work package is to deploy a state-of-the-art software and hardware for developing power system operation, protection, control and automation applications. Several PMUs have been deployed at partner universities and a network of synchrophasors has been set up. In addition the Smart Transmission System Laboratory (SmarTS-Lab) has been established. This laboratory serves as a test-bench to develop and verify smart transmission grid technologies. A software development kit (S3DK) was developed within the project. The S3DK has been used to implement PMU-based applications and deploy them in different targets, including smart phones and tablets. Several tools and software applications which utilize synchrophasor measurements (from the laboratory or the deployed university PMU network) to perform power system monitoring, sub-synchronous power oscillation detection, etc., have been developed and are presented herein.},\n  copyright = {All rights reserved},\n  isbn = {978-1-4799-6415-4},\n  keywords = {IEC 61850,Phasor Data Concentrator,Phasor Measurement Units,Protection and Control (WAMPAC),Real-Time Simulation,s3dk,SmarTS-Lab,Synchrophasors,Wide Area Monitoring}\n}\n\n
\n
\n\n\n
\n This paper presents the activities carried out in one of the work packages of the Nordic Energy Research funded project Smart Transmission Grid Operation and Control (STRONg2rid). The main objective of the work package is to deploy a state-of-the-art software and hardware for developing power system operation, protection, control and automation applications. Several PMUs have been deployed at partner universities and a network of synchrophasors has been set up. In addition the Smart Transmission System Laboratory (SmarTS-Lab) has been established. This laboratory serves as a test-bench to develop and verify smart transmission grid technologies. A software development kit (S3DK) was developed within the project. The S3DK has been used to implement PMU-based applications and deploy them in different targets, including smart phones and tablets. Several tools and software applications which utilize synchrophasor measurements (from the laboratory or the deployed university PMU network) to perform power system monitoring, sub-synchronous power oscillation detection, etc., have been developed and are presented herein.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Validating a Real-Time PMU-based Application for Monitoring of Sub-Synchronous Wind Farm Oscillations.\n \n \n \n\n\n \n Baudette, M.; Vanfretti, L.; Del-Rosario, G.; Ruíz-Alvarez, A.; Domínguez-García, J.L.; Al-Khatib, I.; Shoaib Almas, M.; Cairo, I.; and Gjerde, J.\n\n\n \n\n\n\n In 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{baudetteValidatingRealtimePMUbased2014,\n  title = {Validating a Real-Time {{PMU-based}} Application for Monitoring of Sub-Synchronous Wind Farm Oscillations},\n  booktitle = {2014 {{IEEE PES Innovative Smart Grid Technologies Conference}}, {{ISGT}} 2014},\n  author = {Baudette, M. and Vanfretti, L. and {Del-Rosario}, G. and {Ru{\\'i}z-Alvarez}, A. and {Dom{\\'i}nguez-Garc{\\'i}a}, J.L. and {Al-Khatib}, I. and Shoaib Almas, M. and Cairo, I. and Gjerde, J.O.},\n  year = {2014},\n  doi = {10.1109/ISGT.2014.6816444},\n  abstract = {This paper presents validation experiments performed on a Phasor Measurement Unit (PMU) based fast oscillation detection application. The monitoring application focuses on the detection of sub-synchronous oscillations, utilizing real-time measurements from PMUs. The application was first tested through Hardware-In-the-Loop (HIL) simulation. Validation experiments were carried out with a different set-up by utilizing a micro grid laboratory. This second experimental set-up as well as the results of the validation experiments are presented in this paper. \\textcopyright{} 2014 IEEE.},\n  copyright = {All rights reserved},\n  isbn = {978-1-4799-3652-6},\n  keywords = {BableFish,Hardware-In-the-Loop,Micro grid,Monitoring application,PMU,Sub-synchronous oscillations,Wind farm}\n}\n\n
\n
\n\n\n
\n This paper presents validation experiments performed on a Phasor Measurement Unit (PMU) based fast oscillation detection application. The monitoring application focuses on the detection of sub-synchronous oscillations, utilizing real-time measurements from PMUs. The application was first tested through Hardware-In-the-Loop (HIL) simulation. Validation experiments were carried out with a different set-up by utilizing a micro grid laboratory. This second experimental set-up as well as the results of the validation experiments are presented in this paper. © 2014 IEEE.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Implementation and Testing of a Real-Time Mode Estimation Algorithm Using Ambient PMU Data.\n \n \n \n\n\n \n Peric, V.; Baudette, M.; Vanfretti, L.; Gjerde, J.; and Lovlund, S.\n\n\n \n\n\n\n In 2014 Clemson University Power Systems Conference, PSC 2014, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{pericImplementationTestingRealtime2014,\n  title = {Implementation and Testing of a Real-Time Mode Estimation Algorithm Using Ambient {{PMU}} Data},\n  booktitle = {2014 {{Clemson University Power Systems Conference}}, {{PSC}} 2014},\n  author = {Peric, V.S. and Baudette, M. and Vanfretti, L. and Gjerde, J.O. and Lovlund, S.},\n  year = {2014},\n  doi = {10.1109/PSC.2014.6808116},\n  abstract = {This paper presents a software implementation of a real-time power system mode estimator application which uses ambient synchrophasor data. The software is built using Statnett's Synchrophasor Software Development Kit (SDK) as a platform for fast prototyping of real-time synchrophasor applications. The SDK extracts synchrophasor data received in the IEEE C.37.118 protocol and provides them as LabVIEW signals. These signals are preprocessed and mode frequencies and damping ratios are calculated by Yule-Walker's method. The implemented LabVIEW software employs state machine logics which enables modifications and upgrades to the algorithm. \\textcopyright{} 2014 IEEE.},\n  copyright = {All rights reserved},\n  keywords = {Mode estimation,Mode meters,s3dk,State machine,Synchrophasors}\n}\n\n
\n
\n\n\n
\n This paper presents a software implementation of a real-time power system mode estimator application which uses ambient synchrophasor data. The software is built using Statnett's Synchrophasor Software Development Kit (SDK) as a platform for fast prototyping of real-time synchrophasor applications. The SDK extracts synchrophasor data received in the IEEE C.37.118 protocol and provides them as LabVIEW signals. These signals are preprocessed and mode frequencies and damping ratios are calculated by Yule-Walker's method. The implemented LabVIEW software employs state machine logics which enables modifications and upgrades to the algorithm. © 2014 IEEE.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Monitoring and Control of Renewable Energy Sources Using Synchronized Phasor Measurements.\n \n \n \n\n\n \n Vanfretti, L.; Baudette, M.; and White, A.\n\n\n \n\n\n\n 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@book{vanfrettiMonitoringControlRenewable2014,\n  title = {Monitoring and {{Control}} of {{Renewable Energy Sources}} Using {{Synchronized Phasor Measurements}}},\n  author = {Vanfretti, L. and Baudette, M. and White, A.},\n  year = {2014},\n  journal = {Renewable Energy Integration: Practical Management of Variability, Uncertainty, and Flexibility in Power Grids},\n  doi = {10.1016/B978-0-12-407910-6.00033-8},\n  abstract = {The share of wind power has strongly increased in electricity production, raising several issues concerning its integration to power grids. Unexpected dynamic phenomena, such as oscillatory events around 13 Hz have been recorded in the US by Oklahoma Gas \\& Electric (OG\\&E). Such interactions differ from traditional and well studied inter-area oscillations, and the ability to detect them is beyond the measurement capabilities of most of the existing measurement equipment and monitoring tools in Energy Management Systems (EMS) systems. This chapter presents the development and implementation of algorithms for fast oscillation detection, focusing on the aforementioned case. It proposes two solutions for real-time monitoring application that exploits synchronized phasor measurements allowing real-time analysis of sub-synchronous wind farm dynamics. These tools were built as prototypes for real-time application which utilizes Phasor Measurement Unit (PMU) data for enhanced monitoring and control of wind farms. The software tools developed in the chapter serve as evidence of the flexibility offered by non-conventional software development systems for PMU applications which provide unlimited opportunities to conceive new software tools that will aid with the integration and management of renewable resources into power grids.},\n  copyright = {All rights reserved},\n  isbn = {978-0-12-408122-2},\n  keywords = {Monitoring applications,PMU,Power system oscillations,Renewable energy resources,Sub-synchronous oscillations,Synchronized phasor measurements,Wind farm}\n}\n\n
\n
\n\n\n
\n The share of wind power has strongly increased in electricity production, raising several issues concerning its integration to power grids. Unexpected dynamic phenomena, such as oscillatory events around 13 Hz have been recorded in the US by Oklahoma Gas & Electric (OG&E). Such interactions differ from traditional and well studied inter-area oscillations, and the ability to detect them is beyond the measurement capabilities of most of the existing measurement equipment and monitoring tools in Energy Management Systems (EMS) systems. This chapter presents the development and implementation of algorithms for fast oscillation detection, focusing on the aforementioned case. It proposes two solutions for real-time monitoring application that exploits synchronized phasor measurements allowing real-time analysis of sub-synchronous wind farm dynamics. These tools were built as prototypes for real-time application which utilizes Phasor Measurement Unit (PMU) data for enhanced monitoring and control of wind farms. The software tools developed in the chapter serve as evidence of the flexibility offered by non-conventional software development systems for PMU applications which provide unlimited opportunities to conceive new software tools that will aid with the integration and management of renewable resources into power grids.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Power System Model Identification Exploiting the Modelica Language and FMI Technologies.\n \n \n \n\n\n \n Vanfretti, L.; Bogodorova, T.; and Baudette, M.\n\n\n \n\n\n\n In 2014 IEEE International Conference on Intelligent Energy and Power Systems, IEPS 2014 - Conference Proceedings, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{vanfrettiPowerSystemModel2014,\n  title = {Power System Model Identification Exploiting the {{Modelica}} Language and {{FMI}} Technologies},\n  booktitle = {2014 {{IEEE International Conference}} on {{Intelligent Energy}} and {{Power Systems}}, {{IEPS}} 2014 - {{Conference Proceedings}}},\n  author = {Vanfretti, L. and Bogodorova, T. and Baudette, M.},\n  year = {2014},\n  doi = {10.1109/IEPS.2014.6874164},\n  abstract = {This article provides an overview of the work performed at SmarTS Lab on power system modeling and system identification within the FP7 iTesla project. The work was performed using Modelica as the modeling language for phasor time domain simulation and FMI (Flexible Mock-up Interface) Technologies for coupling Modelica models with simulation and optimization tools. The article focuses on use case examples of these Modelica models in an FMI driven environment to perform parameter identification. \\textcopyright{} 2014 IEEE.},\n  copyright = {All rights reserved},\n  isbn = {978-1-4799-2266-6},\n  keywords = {model identification,Modelica FMI,parameter estimation,system identification}\n}\n\n
\n
\n\n\n
\n This article provides an overview of the work performed at SmarTS Lab on power system modeling and system identification within the FP7 iTesla project. The work was performed using Modelica as the modeling language for phasor time domain simulation and FMI (Flexible Mock-up Interface) Technologies for coupling Modelica models with simulation and optimization tools. The article focuses on use case examples of these Modelica models in an FMI driven environment to perform parameter identification. © 2014 IEEE.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2013\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Testing and Validation of a Fast Real-Time Oscillation Detection PMU-based Application for Wind-Farm Monitoring.\n \n \n \n\n\n \n Vanfretti, L.; Baudette, M.; Al-Khatib, I.; Almas, M.; and Gjerde, J.\n\n\n \n\n\n\n In 2013 1st International Black Sea Conference on Communications and Networking, BlackSeaCom 2013, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{vanfrettiTestingValidationFast2013,\n  title = {Testing and Validation of a Fast Real-Time Oscillation Detection {{PMU-based}} Application for Wind-Farm Monitoring},\n  booktitle = {2013 1st {{International Black Sea Conference}} on {{Communications}} and {{Networking}}, {{BlackSeaCom}} 2013},\n  author = {Vanfretti, L. and Baudette, M. and {Al-Khatib}, I. and Almas, M.S. and Gjerde, J.O.},\n  year = {2013},\n  doi = {10.1109/BlackSeaCom.2013.6623413},\n  abstract = {This article provides an overview of a monitoring application, its testing and validation process. The application was developed for the detection of sub-synchronous oscillations in power systems, utilizing real-time measurements from phasor measurement units (PMUs). It uses two algorithms simultaneously to both detect the frequency at which the oscillatory event occurs and the level of energy in the oscillations. The application has been developed and tested in the framework of SmarTS Lab, an environment capable of hardware-in-the-loop (HIL) simulation. The necessary components of the real-time chain of data acquisition are presented in this paper, as well as testing and validation results, to demonstrate the accuracy of the monitoring tool and the feasibility of fast prototyping for real-time PMU measurements based applications using the SmarTS Lab environment. \\textcopyright{} 2013 IEEE.},\n  copyright = {All rights reserved},\n  isbn = {978-1-4799-0857-8},\n  keywords = {BableFish,monitoring application,PMU,Power system oscillations,Wide Area Monitoring Systems}\n}\n
\n
\n\n\n
\n This article provides an overview of a monitoring application, its testing and validation process. The application was developed for the detection of sub-synchronous oscillations in power systems, utilizing real-time measurements from phasor measurement units (PMUs). It uses two algorithms simultaneously to both detect the frequency at which the oscillatory event occurs and the level of energy in the oscillations. The application has been developed and tested in the framework of SmarTS Lab, an environment capable of hardware-in-the-loop (HIL) simulation. The necessary components of the real-time chain of data acquisition are presented in this paper, as well as testing and validation results, to demonstrate the accuracy of the monitoring tool and the feasibility of fast prototyping for real-time PMU measurements based applications using the SmarTS Lab environment. © 2013 IEEE.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n
\n\n\n \n\n \n \n \n \n\n
\n"}; document.write(bibbase_data.data);