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Techniques for improving filters in power grid contingency analysis

By Robert Adolf, David Haglin, Yousu Chen and Zhenyu Huang

Abstract

Abstract. Electrical power grid contingency analysis aims to understand the impact of potential component failures and assess a system’s capability to tolerate them. The computational resources needed to explore all potential x-component failures, for modest sizes of x>1, is not feasible due to the combinatorial explosion of cases to consider. A common approach for addressing the large workload is to select the most severe x-component failures to explore (a process we call filtering). It is important to assess the efficacy of a filter; in particular, it is necessary to understand the likelihood that a potentially severe case is filtered out. A framework for assessing the quality/performance of a filter is proposed. This framework is generalized to support resource-aware filters and multiple evaluation criteria

Topics: Contingency Analysis, Contingency Selection, Resource-Aware Filtering, Multi-criteria Optimization
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.4947
Provided by: CiteSeerX
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