Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model

Abstract

Online decision support for effective mitigation actions against propagating cascading outages in a power grid still poses a big challenge to grid operators. This paper proposes an online mitigation strategy against cascading outages using an optimal power flow model based on a Dynamic Interaction Graph. For a given power grid, its interaction graph, also called an interaction model, was proposed in recent literature, which is composed of components and links that have large contributions to outage propagation. Differing from a conventional interaction graph, a Dynamic Interaction Graph can adaptively update its parameters with changes of grid topology and hence is more accurate in online identification of the most vulnerable transmission lines and likely outage propagation paths for mitigation. Further, the paper introduces an optimal power flow model based on the proposed Dynamic Interaction Graph for determining the optimal control strategy to maintain transfer margins of vulnerable transmission lines and effectively mitigate outage propagation. The numerical results on the IEEE 118-bus system demonstrate the effectiveness of the proposed models and associated control strategy.

Published by IEEE Access in 2019

References in corpus (5)

• Catastrophic cascade of failures in interdependent networks
• Suppressing cascades of load in interdependent networks
• Dynamic Modeling of Cascading Failure in Power Systems
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Cited by in corpus (5)

• A Markovian influence graph formed from utility line outage data to mitigate large cascades
• Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey
• The most frequent N-k line outages occur in motifs that can improve contingency selection
• Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis
• Power Grid Cascading Failure Mitigation by Reinforcement Learning