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2020 | OriginalPaper | Chapter

Identifying Critical Patterns of Cascading Failure in Power Systems Based on Sequential Pattern Mining with Gap Constraints

Authors : Lu Liu, Linzhi Li, Hao Wu

Published in: Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Publisher: Springer Singapore

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Abstract

The propagation features of cascading failure in power system are basis for identifying critical branches and understanding the mechanisms of cascading failure. This paper defines propagation features as minimum sequential patterns with gap, and propose a method to identify critical patterns and branches. The proposed method is tested on IEEE 39-, 118-bus test systems. The case studies show the method can effectively identify critical patterns and branches from massive cascading failure simulation data. We also illustrate that the identification results help understand the features of power flow transmission and topology structure, and propagation correlations between branches.

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Metadata
Title
Identifying Critical Patterns of Cascading Failure in Power Systems Based on Sequential Pattern Mining with Gap Constraints
Authors
Lu Liu
Linzhi Li
Hao Wu
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-9783-7_69