Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey

Upama Nakarmi, Mahshid Rahnamay Naeini, Md Jakir Hossain and Md Abul Hasnat
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Upama Nakarmi: Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA
Mahshid Rahnamay Naeini: Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA
Md Jakir Hossain: Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA
Md Abul Hasnat: Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA

Energies, 2020, vol. 13, issue 9, 1-25

Abstract: Understanding and analyzing cascading failures in power grids have been the focus of many researchers for years. However, the complex interactions among the large number of components in these systems and their contributions to cascading failures are not yet completely understood. Therefore, various techniques have been developed and used to model and analyze the underlying interactions among the components of the power grid with respect to cascading failures. Such methods are important to reveal the essential information that may not be readily available from power system physical models and topologies. In general, the influences and interactions among the components of the system may occur both locally and at distance due to the physics of electricity governing the power flow dynamics as well as other functional and cyber dependencies among the components of the system. To infer and capture such interactions, data-driven approaches or techniques based on the physics of electricity have been used to develop graph-based models of interactions among the components of the power grid. In this survey, various methods of developing interaction graphs as well as studies on the reliability and cascading failure analysis of power grids using these graphs have been reviewed.

Keywords: interaction graphs; cascading failures; data-driven; electrical distance; power grids; system modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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