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

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.

References in corpus (18)

• Catastrophic cascade of failures in interdependent networks
• Community detection in networks: A user guide
• Structural Vulnerability of the North American Power Grid
• A model for cascading failures in complex networks
• Power grids vulnerability: a complex network approach
• Do topological models provide good information about vulnerability in electric power networks?
• Comparing the Topological and Electrical Structure of the North American Electric Power Infrastructure
• Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology
• An Interaction Model for Simulation and Mitigation of Cascading Failures
• The Impact of the Topology on Cascading Failures in Electric Power Grids
• A Markovian influence graph formed from utility line outage data to mitigate large cascades
• Vulnerability and co-susceptibility determine the size of network cascades
• Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey
• A generative graph model for electrical infrastructure networks
• A State-Failure--Network Method to Identify Critical Components in Power Systems
• Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model
• A Network-of-Networks Model for Electrical Infrastructure Networks
• A network approach for power grid robustness against cascading failures

Cited by in corpus (5)

• Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey
• Machine Learning Applications in Cascading Failure Analysis in Power Systems: A Review
• Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks
• Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis
• Detection and Locating Cyber and Physical Stresses in Smart Grids using Graph Signal Processing