LAPSE:2020.0280
Published Article
LAPSE:2020.0280
Community-Based Link-Addition Strategies for Mitigating Cascading Failures in Modern Power Systems
Po Hu, Lily Lee
March 12, 2020
The propagation of cascading failures of modern power systems is mainly constrained by the network topology and system parameter. In order to alleviate the cascading failure impacts, it is necessary to adjust the original network topology considering the geographical factors, construction costs and requirements of engineering practice. Based on the complex network theory, the power system is modeled as a directed graph. The graph is divided into communities based on the Fast−Newman algorithm, where each community contains at least one generator node. Combined with the islanding characteristics and the node vulnerability, three low-degree-node-based link-addition strategies are proposed to optimize the original topology. A new evaluation index combining with the attack difficulty and the island ratio is proposed to measure the impacts on the network under sequential attacks. From the analysis of the experimental results of three attack scenarios, this study adopts the proposed strategies to enhance the network connectivity and improve the robustness to some extent. It is therefore helpful to guide the power system cascading failure mitigation strategies and network optimization planning.
Keywords
cascading failures, complex network theory, Fast–Newman algorithm, link-addition strategy, power systems
Suggested Citation
Hu P, Lee L. Community-Based Link-Addition Strategies for Mitigating Cascading Failures in Modern Power Systems. (2020). LAPSE:2020.0280
Author Affiliations
Hu P: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Lee L: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China [ORCID]
Journal Name
Processes
Volume
8
Issue
2
Article Number
E126
Year
2020
Publication Date
2020-01-21
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8020126, Publication Type: Journal Article
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LAPSE:2020.0280
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doi:10.3390/pr8020126
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Mar 12, 2020
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CC BY 4.0
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Mar 12, 2020
 
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Original Submitter
Calvin Tsay
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