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\n  \n 2023\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Cross-Correlated Scenario Generation for Renewable-Rich Power Systems Using Implicit Generative Models.\n \n \n \n\n\n \n Dalal, D.; Bilal, M.; Shah, H.; Sifat, A., I.; Pal, A.; and Augustin, P.\n\n\n \n\n\n\n Energies, 16(4): 1636. 2 2023.\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 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Cross-Correlated Scenario Generation for Renewable-Rich Power Systems Using Implicit Generative Models},\n type = {article},\n year = {2023},\n pages = {1636},\n volume = {16},\n month = {2},\n day = {7},\n id = {a70e296f-6fd1-3a2f-b102-908f175cd7c0},\n created = {2024-09-06T20:30:27.404Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T20:30:27.404Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {<p>Generation of realistic scenarios is an important prerequisite for analyzing the reliability of renewable-rich power systems. This paper satisfies this need by presenting an end-to-end model-free approach for creating representative power system scenarios on a seasonal basis. A conditional recurrent generative adversarial network serves as the main engine for scenario generation. Compared to prior scenario generation models that treated the variables independently or focused on short-term forecasting, the proposed implicit generative model effectively captures the cross-correlations that exist between the variables considering long-term planning. The validity of the scenarios generated using the proposed approach is demonstrated through extensive statistical evaluation and investigation of end-application results. It is shown that analysis of abnormal scenarios, which is more critical for power system resource planning, benefits the most from cross-correlated scenario generation.</p>},\n bibtype = {article},\n author = {Dalal, Dhaval and Bilal, Muhammad and Shah, Hritik and Sifat, Anwarul Islam and Pal, Anamitra and Augustin, Philip},\n doi = {10.3390/en16041636},\n journal = {Energies},\n number = {4}\n}
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Generation of realistic scenarios is an important prerequisite for analyzing the reliability of renewable-rich power systems. This paper satisfies this need by presenting an end-to-end model-free approach for creating representative power system scenarios on a seasonal basis. A conditional recurrent generative adversarial network serves as the main engine for scenario generation. Compared to prior scenario generation models that treated the variables independently or focused on short-term forecasting, the proposed implicit generative model effectively captures the cross-correlations that exist between the variables considering long-term planning. The validity of the scenarios generated using the proposed approach is demonstrated through extensive statistical evaluation and investigation of end-application results. It is shown that analysis of abnormal scenarios, which is more critical for power system resource planning, benefits the most from cross-correlated scenario generation.

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\n \n\n \n \n \n \n \n Data-Driven Flow and Injection Estimation in PMU-Unobservable Transmission Systems.\n \n \n \n\n\n \n Sahoo, S.; Sifat, A., I.; and Pal, A.\n\n\n \n\n\n\n In 2023 IEEE Power & Energy Society General Meeting (PESGM), pages 1-5, 7 2023. IEEE\n \n\n\n\n
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@inproceedings{\n title = {Data-Driven Flow and Injection Estimation in PMU-Unobservable Transmission Systems},\n type = {inproceedings},\n year = {2023},\n pages = {1-5},\n month = {7},\n publisher = {IEEE},\n day = {16},\n id = {f18813b0-72ea-368c-a94a-43835fae675e},\n created = {2024-09-06T20:30:28.242Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T20:30:28.242Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Sahoo, Satyaprajna and Sifat, Anwarul Islam and Pal, Anamitra},\n doi = {10.1109/PESGM52003.2023.10252719},\n booktitle = {2023 IEEE Power & Energy Society General Meeting (PESGM)}\n}
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\n \n\n \n \n \n \n \n Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes.\n \n \n \n\n\n \n Moshtagh, S.; Sifat, A., I.; Azimian, B.; and Pal, A.\n\n\n \n\n\n\n In 2023 North American Power Symposium (NAPS), pages 1-6, 10 2023. IEEE\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\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes},\n type = {inproceedings},\n year = {2023},\n pages = {1-6},\n month = {10},\n publisher = {IEEE},\n day = {15},\n id = {352b5b17-2b36-3502-90b9-32820ad9673f},\n created = {2024-09-06T20:30:29.085Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T20:30:29.085Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Moshtagh, Shiva and Sifat, Anwarul Islam and Azimian, Behrouz and Pal, Anamitra},\n doi = {10.1109/NAPS58826.2023.10318579},\n booktitle = {2023 North American Power Symposium (NAPS)}\n}
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\n  \n 2022\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Monitoring and Detection of Low-current High-Impedance Faults in Distribution Networks.\n \n \n \n\n\n \n Sifat, A., I.; McFadden, F., J., S.; Rayudu, R.; and Bailey, J.\n\n\n \n\n\n\n . 10 2022.\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
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@article{\n title = {Monitoring and Detection of Low-current High-Impedance Faults in Distribution Networks},\n type = {article},\n year = {2022},\n month = {10},\n day = {30},\n id = {061528a9-56ed-3013-8fbd-ad9c66a9343d},\n created = {2024-09-06T20:33:22.467Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T20:33:22.467Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Faults in electricity distribution networks have the potential to ignite fires, cause electrocution, and damage the system itself. High current Low Impedance Faults (LIF) are typically detected and mitigated via over-current, distance, directional relays, fuses, etc. In contrast, while High Impedance Faults (HIF) are equally hazardous, they are much more challenging to detect due to the fault current being much lower than load currents and their time-varying and nonlinear behaviour. Moreover, New Zealand distribution networks are extensive and largely unmonitored beyond the substation, and suitable HIF detection schemes are still an ongoing research challenge. To date, we have built a physical test facility for power system fault analysis and developing and evaluating our sensing and fault detection system. We have simulated LIF and HIF with different fault surface materials and load-switching events. From the data collected, we have characterized the unique fault behaviour for both LIF and HIF in 400V networks and trained a Deep Learning classifier to recognize the type of fault present from its unique signature. We have developed an outdoor pole mountable sensing system and have installed this in Wellington Electricity's network for ongoing data collection and evaluation. This paper will describe the test facility and our experience developing and implementing the sensing system. The widest range of HIF phenomena observed was in the fault experiments involving the tree branch. For brevity, therefore, this paper reports on the results of just these tree-branch experiments. HIF faults on other surface materials will be reported elsewhere. Finally, we will detail the pole-mountable sensing system installed in Wellington Electricity's network and the outcomes thus far.},\n bibtype = {article},\n author = {Sifat, Anwarul Islam and McFadden, Fiona J. Stevens and Rayudu, Ramesh and Bailey, Joseph}\n}
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\n Faults in electricity distribution networks have the potential to ignite fires, cause electrocution, and damage the system itself. High current Low Impedance Faults (LIF) are typically detected and mitigated via over-current, distance, directional relays, fuses, etc. In contrast, while High Impedance Faults (HIF) are equally hazardous, they are much more challenging to detect due to the fault current being much lower than load currents and their time-varying and nonlinear behaviour. Moreover, New Zealand distribution networks are extensive and largely unmonitored beyond the substation, and suitable HIF detection schemes are still an ongoing research challenge. To date, we have built a physical test facility for power system fault analysis and developing and evaluating our sensing and fault detection system. We have simulated LIF and HIF with different fault surface materials and load-switching events. From the data collected, we have characterized the unique fault behaviour for both LIF and HIF in 400V networks and trained a Deep Learning classifier to recognize the type of fault present from its unique signature. We have developed an outdoor pole mountable sensing system and have installed this in Wellington Electricity's network for ongoing data collection and evaluation. This paper will describe the test facility and our experience developing and implementing the sensing system. The widest range of HIF phenomena observed was in the fault experiments involving the tree branch. For brevity, therefore, this paper reports on the results of just these tree-branch experiments. HIF faults on other surface materials will be reported elsewhere. Finally, we will detail the pole-mountable sensing system installed in Wellington Electricity's network and the outcomes thus far.\n
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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Characterization of 400 Volt High Impedance Fault With Current and Magnetic Field Measurements.\n \n \n \n\n\n \n Sifat, A., I.; Stevens McFadden, F., J.; Bailey, J.; Rayudu, R., R.; and Hunze, A.\n\n\n \n\n\n\n IEEE Transactions on Power Delivery, 36(6): 3538-3549. 12 2021.\n \n\n\n\n
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@article{\n title = {Characterization of 400 Volt High Impedance Fault With Current and Magnetic Field Measurements},\n type = {article},\n year = {2021},\n pages = {3538-3549},\n volume = {36},\n month = {12},\n id = {40d3379e-bdb0-3587-9eb0-ad2c6950041d},\n created = {2024-09-06T14:03:22.029Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:03:22.029Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Sifat, Anwarul Islam and Stevens McFadden, Fiona J and Bailey, Joseph and Rayudu, Ramesh Rayudu and Hunze, Arvid},\n doi = {10.1109/TPWRD.2020.3044545},\n journal = {IEEE Transactions on Power Delivery},\n number = {6}\n}
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\n \n\n \n \n \n \n \n Characterization of 400 Volt High Impedance Fault With Current and Magnetic Field Measurements.\n \n \n \n\n\n \n Sifat, A., I.; Stevens McFadden, F., J.; Bailey, J.; Rayudu, R., R.; and Hunze, A.\n\n\n \n\n\n\n IEEE Transactions on Power Delivery, 36(6): 3538-3549. 12 2021.\n \n\n\n\n
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@article{\n title = {Characterization of 400 Volt High Impedance Fault With Current and Magnetic Field Measurements},\n type = {article},\n year = {2021},\n pages = {3538-3549},\n volume = {36},\n month = {12},\n id = {70e8200f-7420-3100-bc15-e2e844c9075d},\n created = {2024-09-06T20:30:30.511Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T20:30:30.511Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Sifat, Anwarul Islam and Stevens McFadden, Fiona J and Bailey, Joseph and Rayudu, Ramesh Rayudu and Hunze, Arvid},\n doi = {10.1109/TPWRD.2020.3044545},\n journal = {IEEE Transactions on Power Delivery},\n number = {6}\n}
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\n  \n 2020\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Classification of Stages of a High Impedance Fault Using Sequential Learning Algorithms.\n \n \n \n\n\n \n Sifat, A.; Stevens McFadden, F.; Rayudu, R.; and Bailey, J.\n\n\n \n\n\n\n In 2020 IEEE Kansas Power and Energy Conference, KPEC 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\n
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@inproceedings{\n title = {Classification of Stages of a High Impedance Fault Using Sequential Learning Algorithms},\n type = {inproceedings},\n year = {2020},\n keywords = {1D-CNN,400-volt,GRU,High Impedance Fault,LSTM,Sequential Learning},\n id = {611d83d3-10a1-3f80-b8b2-259961c3a825},\n created = {2024-09-06T14:03:57.235Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:03:57.235Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© 2020 IEEE. High Impedance Fault (HIF) detection is a demanding task for distribution power system operators and an ongoing research challenge. Recent developments in pattern recognition and data analytics has motivated researchers to develop detection algorithms based on Deep Learning (DL). Inherently, an HIF generates an arbitrary and non-linear signal. The varying nature of the fault is an ideal match for a DL sequential algorithm as the basis for a pattern classification technique. Here we present two hybrid DL models to classify the progression of an HIF observed in a 400V network. The hybrid models were developed with a Convolutional Neural Network (CNN) and two variants of the Recurrent Neural Network (RNN) algorithm. The models have been trained on real-world Giant Magneto-Resistive (GMR) Sensor data collected via a purpose-built 400-Volt test facility. The preliminary testing of models demonstrated 99.48% accuracy in classifying different states of the HIF. The robustness of the model on a large and more varied data-set is the subject of ongoing work.},\n bibtype = {inproceedings},\n author = {Sifat, A.I. and Stevens McFadden, F.J. and Rayudu, R. and Bailey, J.},\n doi = {10.1109/KPEC47870.2020.9167614},\n booktitle = {2020 IEEE Kansas Power and Energy Conference, KPEC 2020}\n}
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\n © 2020 IEEE. High Impedance Fault (HIF) detection is a demanding task for distribution power system operators and an ongoing research challenge. Recent developments in pattern recognition and data analytics has motivated researchers to develop detection algorithms based on Deep Learning (DL). Inherently, an HIF generates an arbitrary and non-linear signal. The varying nature of the fault is an ideal match for a DL sequential algorithm as the basis for a pattern classification technique. Here we present two hybrid DL models to classify the progression of an HIF observed in a 400V network. The hybrid models were developed with a Convolutional Neural Network (CNN) and two variants of the Recurrent Neural Network (RNN) algorithm. The models have been trained on real-world Giant Magneto-Resistive (GMR) Sensor data collected via a purpose-built 400-Volt test facility. The preliminary testing of models demonstrated 99.48% accuracy in classifying different states of the HIF. The robustness of the model on a large and more varied data-set is the subject of ongoing work.\n
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\n  \n 2019\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A Facility for Physical Simulation of High Impedance Faults in Low Voltage Networks.\n \n \n \n\n\n \n Sifat, A.; Bailey, J.; Hamilton, K.; McFadden, F.; Rayudu, R.; and Hunze, A.\n\n\n \n\n\n\n In IEEE Power and Energy Society General Meeting, volume 2019-Augus, 2019. \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
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@inproceedings{\n title = {A Facility for Physical Simulation of High Impedance Faults in Low Voltage Networks},\n type = {inproceedings},\n year = {2019},\n keywords = {400V,Distribution Network,Fault Data,High Impedance Fault,Indoor Test Facility,Test Facility Design},\n volume = {2019-Augus},\n id = {e44dbad2-6317-311a-ade6-96be55dd1bec},\n created = {2024-09-06T14:03:56.414Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:03:56.414Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {true},\n abstract = {© 2019 IEEE. High impedance fault detection is an active research area, and is important to distribution power system operators. Research to date has focused on new sensor technologies and signal processing schemes to detect these faults. However, development of these schemes requires real fault incident data. Experimental HIF data at low voltage (0.4 kV) are currently unavailable, therefore we have designed a low voltage test facility design to physically simulate HIFs. The facility includes the geometrical representation of actual low voltage distribution lines, as an objective of the facility is for its use in the evaluation of (Giant Magneto-resistance) GMR sensors as a basis for a fault detection system. The initial HIF experimental data collected in this facility demonstrates the capability of the test facility to simulate such faults. The test facility will therefore be beneficial for generating actual data for studying HIF phenomena and for the development of a GMR sensor based detection scheme. This will be the subject of ongoing work.},\n bibtype = {inproceedings},\n author = {Sifat, A.I. and Bailey, J. and Hamilton, K. and McFadden, F.J.S. and Rayudu, R. and Hunze, A.},\n doi = {10.1109/PESGM40551.2019.8973913},\n booktitle = {IEEE Power and Energy Society General Meeting}\n}
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\n © 2019 IEEE. High impedance fault detection is an active research area, and is important to distribution power system operators. Research to date has focused on new sensor technologies and signal processing schemes to detect these faults. However, development of these schemes requires real fault incident data. Experimental HIF data at low voltage (0.4 kV) are currently unavailable, therefore we have designed a low voltage test facility design to physically simulate HIFs. The facility includes the geometrical representation of actual low voltage distribution lines, as an objective of the facility is for its use in the evaluation of (Giant Magneto-resistance) GMR sensors as a basis for a fault detection system. The initial HIF experimental data collected in this facility demonstrates the capability of the test facility to simulate such faults. The test facility will therefore be beneficial for generating actual data for studying HIF phenomena and for the development of a GMR sensor based detection scheme. This will be the subject of ongoing work.\n
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\n \n\n \n \n \n \n \n Feasibility of magnetic signature-based detection of low and high impedance faults in low-voltage distribution networks.\n \n \n \n\n\n \n Sifat, A., I.; McFadden, F.; Ahmed, A.; Rayudu, R.; and Hunzel, A.\n\n\n \n\n\n\n In 2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017, 2018. \n \n\n\n\n
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@inproceedings{\n title = {Feasibility of magnetic signature-based detection of low and high impedance faults in low-voltage distribution networks},\n type = {inproceedings},\n year = {2018},\n keywords = {Discrete Wavelet Transform,Distribution Network,High Impedance Fault,Magnetic Sensor,Total Harmonic Distortion,Wavelets},\n id = {a34e1c79-9f3a-3073-a07b-0dde4404dca4},\n created = {2024-09-06T14:03:58.819Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:03:58.819Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sifat2018},\n private_publication = {false},\n abstract = {© 2017 IEEE. This article investigates the feasibility of using noncontact magnetic sensor measurements as the basis for the detection of low and high impedance faults in 0.44 kV distribution networks. It is compared with fault detection using current measurement. A harmonic source free power system was simulated in DIgSilent, in which single line to ground faults was staged. Magnetic field intensity was calculated from simulated phase currents and then the potential detection of faults using total harmonic distortion (THD) and Discrete Wavelet Transform (DWT) was assessed. The use of magnetic sensor measurements as the basis for the detection of low and high impedance faults in 0.44 kV distribution networks was shown to be feasible. As with current-based measurements, wavelet analysis was found to be a better method for HIF faults. However, detection schemes proposed for current-based measurements will need to be modified to suit magnetic field measurements as the shape of the magnetic field waveform differs from the current waveform.},\n bibtype = {inproceedings},\n author = {Sifat, A I and McFadden, F.S. and Ahmed, A. and Rayudu, R. and Hunzel, A.},\n doi = {10.1109/ISGT-Asia.2017.8378472},\n booktitle = {2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017}\n}
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\n © 2017 IEEE. This article investigates the feasibility of using noncontact magnetic sensor measurements as the basis for the detection of low and high impedance faults in 0.44 kV distribution networks. It is compared with fault detection using current measurement. A harmonic source free power system was simulated in DIgSilent, in which single line to ground faults was staged. Magnetic field intensity was calculated from simulated phase currents and then the potential detection of faults using total harmonic distortion (THD) and Discrete Wavelet Transform (DWT) was assessed. The use of magnetic sensor measurements as the basis for the detection of low and high impedance faults in 0.44 kV distribution networks was shown to be feasible. As with current-based measurements, wavelet analysis was found to be a better method for HIF faults. However, detection schemes proposed for current-based measurements will need to be modified to suit magnetic field measurements as the shape of the magnetic field waveform differs from the current waveform.\n
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\n \n\n \n \n \n \n \n Feasibility study of ICS as a source of thermo electric generator.\n \n \n \n\n\n \n Sifat, A.; Uddin, M.; and Islamd, K.\n\n\n \n\n\n\n In 4th International Conference on Advances in Electrical Engineering, ICAEE 2017, volume 2018-Janua, 2018. \n \n\n\n\n
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@inproceedings{\n title = {Feasibility study of ICS as a source of thermo electric generator},\n type = {inproceedings},\n year = {2018},\n keywords = {ICS,Peltier Module,TEG,Thermal Conductivity},\n volume = {2018-Janua},\n id = {c7f04a5d-d86d-314b-9d82-3704765719ec},\n created = {2024-09-06T14:04:00.378Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:04:00.378Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sifat2018a},\n private_publication = {false},\n abstract = {© 2017 IEEE. Improved Cook Stove (ICS) is an ideal substitution of the conventional cook stove. In ICS, the environmental emission reduce hence conserves natural resources because of its high operational efficiency. However, this stove can also be a model source of electricity. Among two types of stove (metal and concrete), it is required to identify the ideal stove for electricity generation by proper thermal analysis. In this article, a methodology has been proposed to produce electricity from dissipated heat from cook stove. A prototype ICS has been developed with a Peltier module. This module works as a thermoelectric generator (TEG) and produces approximately 2 volt from wasted heat. Experimental results collected from this laboratory prototype has been presented to confirm the effectiveness of the proposed system.},\n bibtype = {inproceedings},\n author = {Sifat, A.I. and Uddin, M.M. and Islamd, K.M.A.},\n doi = {10.1109/ICAEE.2017.8255391},\n booktitle = {4th International Conference on Advances in Electrical Engineering, ICAEE 2017}\n}
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\n © 2017 IEEE. Improved Cook Stove (ICS) is an ideal substitution of the conventional cook stove. In ICS, the environmental emission reduce hence conserves natural resources because of its high operational efficiency. However, this stove can also be a model source of electricity. Among two types of stove (metal and concrete), it is required to identify the ideal stove for electricity generation by proper thermal analysis. In this article, a methodology has been proposed to produce electricity from dissipated heat from cook stove. A prototype ICS has been developed with a Peltier module. This module works as a thermoelectric generator (TEG) and produces approximately 2 volt from wasted heat. Experimental results collected from this laboratory prototype has been presented to confirm the effectiveness of the proposed system.\n
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\n \n\n \n \n \n \n \n Micro-controller based 3-phase sequence indicator.\n \n \n \n\n\n \n Sifat, A., I.; Sarkar, M., N., I.; Uddin, M., M.; Biswas, P.; and Aadit, N., A.\n\n\n \n\n\n\n In 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016, pages 78-82, 2016. \n \n\n\n\n
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@inproceedings{\n title = {Micro-controller based 3-phase sequence indicator},\n type = {inproceedings},\n year = {2016},\n keywords = {3-phase Sequence,Micro-controller,Phase Detection,Phase Sequence Indicator},\n pages = {78-82},\n id = {70d33b7c-107f-3bab-bd6d-a9527d4b256f},\n created = {2024-09-06T14:03:57.979Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:03:57.979Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sifat2016},\n private_publication = {false},\n abstract = {© 2016 IEEE.Phase sequence is the order in which the rotated voltage or current generated by 3-phase system attain peak or maximum value. Each sequence voltage is 120 degree apart. Therefore, the maximum value achieved by each sequence is at the definite time interval. Based on this individual response time a new technique of phase detection system is discussed in this paper. An algorithm is developed in order to detect phase sequence. A micro-controller is used to incorporate the algorithm into it. The simulation result is illustrated here to verify the proposed algorithm. A prototype device was built to compare the practical and simulated result.},\n bibtype = {inproceedings},\n author = {Sifat, Anwarul Islam and Sarkar, Md Nazmul Islam and Uddin, Md Milon and Biswas, Pias and Aadit, Navid Anjum},\n doi = {10.1109/ICIEV.2016.7759972},\n booktitle = {2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016}\n}
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\n © 2016 IEEE.Phase sequence is the order in which the rotated voltage or current generated by 3-phase system attain peak or maximum value. Each sequence voltage is 120 degree apart. Therefore, the maximum value achieved by each sequence is at the definite time interval. Based on this individual response time a new technique of phase detection system is discussed in this paper. An algorithm is developed in order to detect phase sequence. A micro-controller is used to incorporate the algorithm into it. The simulation result is illustrated here to verify the proposed algorithm. A prototype device was built to compare the practical and simulated result.\n
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\n \n\n \n \n \n \n \n Solar radiation estimation using temperature data for Dhaka, Bangladesh.\n \n \n \n\n\n \n Sarkar, M., N., I.; Sifat, A., I.; Paul, S.; Hossain, M., S.; and Rahman, M.\n\n\n \n\n\n\n In 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016, pages 204-208, 2016. \n \n\n\n\n
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@inproceedings{\n title = {Solar radiation estimation using temperature data for Dhaka, Bangladesh},\n type = {inproceedings},\n year = {2016},\n keywords = {Ambient Temperature,Rainfall,Solar radiation,Solar radiation estimation,Temperature based models},\n pages = {204-208},\n id = {c15cab20-0cb2-39b8-948c-69c3180dc497},\n created = {2024-09-06T14:03:59.601Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:03:59.601Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sarkar2016},\n private_publication = {false},\n abstract = {© 2016 IEEE.In this study, an analysis of the monthly mean values of the temperature variation (ΔT), precipitation (P), extraterrestrial radiation (H0), and global solar radiation on the horizontal surface (H) was carried out to establish relationship for solar radiation estimation for Dhaka, Bangladesh. Sixteen models are developed to predict solar radiation from temperature and precipitation data. Almost all the models achieved a good R2 value ranging from 0.8 to 0.9 which are close to 1. The RMSE values also remained as low as 0.15 kWh/m2. It is also shown in this study that combined models based on temperature along with extraterrestrial radiation or precipitation performed better than models solely based on temperature data. Although these models were developed from the data of Dhaka only, we can use these models for the whole Bangladesh for estimation of solar radiation.},\n bibtype = {inproceedings},\n author = {Sarkar, Md Nazmul Islam and Sifat, Anwarul Islam and Paul, Sourav and Hossain, Md Shahadat and Rahman, Mushfiqur},\n doi = {10.1109/ICIEV.2016.7759996},\n booktitle = {2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016}\n}
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\n © 2016 IEEE.In this study, an analysis of the monthly mean values of the temperature variation (ΔT), precipitation (P), extraterrestrial radiation (H0), and global solar radiation on the horizontal surface (H) was carried out to establish relationship for solar radiation estimation for Dhaka, Bangladesh. Sixteen models are developed to predict solar radiation from temperature and precipitation data. Almost all the models achieved a good R2 value ranging from 0.8 to 0.9 which are close to 1. The RMSE values also remained as low as 0.15 kWh/m2. It is also shown in this study that combined models based on temperature along with extraterrestrial radiation or precipitation performed better than models solely based on temperature data. Although these models were developed from the data of Dhaka only, we can use these models for the whole Bangladesh for estimation of solar radiation.\n
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\n \n\n \n \n \n \n \n Replacing diesel irrigation pumps with solar photovoltaic pumps for sustainable irrigation in Bangladesh: A feasibility study with HOMER.\n \n \n \n\n\n \n Sarkar, N., I.; Sifat, A., I.; Rahim, N.; and Reza, S., M.\n\n\n \n\n\n\n In 2nd International Conference on Electrical Information and Communication Technologies, EICT 2015, pages 498-503, 2016. \n \n\n\n\n
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@inproceedings{\n title = {Replacing diesel irrigation pumps with solar photovoltaic pumps for sustainable irrigation in Bangladesh: A feasibility study with HOMER},\n type = {inproceedings},\n year = {2016},\n keywords = {Feasibility of solar irrigation,Green energy,Green farming,Photovoltaic pumping,Sustainable irrigation},\n pages = {498-503},\n id = {0aa15056-dc92-3964-9da0-0d0ef26e3643},\n created = {2024-09-06T14:04:01.134Z},\n file_attached = {false},\n profile_id = {356e70ab-3a76-3ca9-bcec-d369e357f794},\n group_id = {7af21e05-27a3-3398-83a4-303ab2cef6b1},\n last_modified = {2024-09-06T14:04:01.134Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sarkar2016a},\n private_publication = {false},\n abstract = {© 2015 IEEE. As a tropical country Bangladesh receives a substantial amount of solar insolation suitable for PV application. Being an agricultural economy, the irrigation need is increasing day by day. Use of diesel run pumping system is neither cost effective nor environment friendly. Even though 47.8% of the total irrigation pumps are diesel run which emits a huge amount of CO2 and other toxic gases. In this paper a typical year round irrigation load has been modelled and used to analyze the feasibility of replacing diesel irrigation pumps with solar PV powered motor-pump systems in HOMER. It was found that stand alone operation of diesel powered pumps are not at all cost effective. PV powered pumps are more feasible than a hybrid PV-Diesel Generator-Battery powered pump systems if it has a larger storage tank. If storage tank is not available then excess electricity fraction rises up to 84% which can be used in residential needs or can be used in other agricultural needs.},\n bibtype = {inproceedings},\n author = {Sarkar, Nazmul Islam and Sifat, Anwarul Islam and Rahim, Nazmul and Reza, S. M.Shamim},\n doi = {10.1109/EICT.2015.7392004},\n booktitle = {2nd International Conference on Electrical Information and Communication Technologies, EICT 2015}\n}
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\n © 2015 IEEE. As a tropical country Bangladesh receives a substantial amount of solar insolation suitable for PV application. Being an agricultural economy, the irrigation need is increasing day by day. Use of diesel run pumping system is neither cost effective nor environment friendly. Even though 47.8% of the total irrigation pumps are diesel run which emits a huge amount of CO2 and other toxic gases. In this paper a typical year round irrigation load has been modelled and used to analyze the feasibility of replacing diesel irrigation pumps with solar PV powered motor-pump systems in HOMER. It was found that stand alone operation of diesel powered pumps are not at all cost effective. PV powered pumps are more feasible than a hybrid PV-Diesel Generator-Battery powered pump systems if it has a larger storage tank. If storage tank is not available then excess electricity fraction rises up to 84% which can be used in residential needs or can be used in other agricultural needs.\n
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