A new model to analyze power and communication system intra-and-inter dependencies. Roy, S., Chandrasekaran, H., Pal, A., & Sen, A. In IEEE Conference on Technologies for Sustainability (SusTech), pages 1–8, Santa Ana, CA., April, 2020. ![A new model to analyze power and communication system intra-and-inter dependencies [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex The reliable and resilient operation of the smart grid necessitates a clear understanding of the intra-and-inter dependencies of its power and communication systems. This understanding can only be achieved by accurately depicting the interactions between the different components of these two systems. This paper presents a model, called modified implicative interdependency model (MIIM), for capturing these interactions. Data obtained from a power utility in the U.S. Southwest is used to ensure the validity of the model. The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. The results indicate that the proposed model is more accurate than its predecessor, the implicative interdependency model (IIM) [1], in predicting the system state in case of failures in the power and/or communication systems.
@inproceedings{roy_new_2020,
address = {Santa Ana, CA.},
title = {A new model to analyze power and communication system intra-and-inter dependencies},
url = {https://ieeexplore.ieee.org/abstract/document/9150529},
abstract = {The reliable and resilient operation of the smart grid necessitates a clear understanding of the intra-and-inter dependencies of its power and communication systems. This understanding can only be achieved by accurately depicting the interactions between the different components of these two systems. This paper presents a model, called modified implicative interdependency model (MIIM), for capturing these interactions. Data obtained from a power utility in the U.S. Southwest is used to ensure the validity of the model. The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. The results indicate that the proposed model is more accurate than its predecessor, the implicative interdependency model (IIM) [1], in predicting the system state in case of failures in the power and/or communication systems.},
booktitle = {IEEE Conference on Technologies for Sustainability (SusTech)},
author = {Roy, Sohini and Chandrasekaran, Harish and Pal, Anamitra and Sen, Arunabha},
month = apr,
year = {2020},
keywords = {Bandwidth, Inter-dependency relations (IDRs), Logic gates, Phasor measurement unit (PMU), Phasor measurement units, Servers, Smart grid, Smart grids, SONET, State estimation, Substations, Supervisory control and data acquisition (SCADA)},
pages = {1--8},
}
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The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. 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This understanding can only be achieved by accurately depicting the interactions between the different components of these two systems. This paper presents a model, called modified implicative interdependency model (MIIM), for capturing these interactions. Data obtained from a power utility in the U.S. Southwest is used to ensure the validity of the model. The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. 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