A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures

Shenhao Yang, Weirong Chen, Xuexia Zhang and Weiqi Yang

Reliability Engineering and System Safety, 2021, vol. 207, issue C

Abstract: A large amount of uncertainty introduced into power systems may affect the system vulnerability to cascading failures. The objectives of this study are to analyze the power system vulnerability to cascades considering higher security criteria and to analyze the variation of the power system vulnerability considering renewable energy integration. To this end, we use a graph-based model to reflect cascades propagation, which is constructed by a thermal inertia-based cascades model incorporating an N-k contingency sampling algorithm. Based on the graph model, comprehensive evaluation indices are proposed to analyze the power system vulnerability in terms of its variable operation state and different generation uncertainty levels. Results show that the graph-based method can reveal cascades propagation, and provides an effective way to visualize and analyze the system vulnerability. Results also show that power systems’ vulnerability is sensitive to the variation of renewable generation, the system would be highly vulnerable to cascades when facing a large uncertainty level that exceeds a certain range. This implies that it is important to limit power systems to operate within the allowed uncertainty range. The proposed approach can help operators to test the system resilience and to analyze the scenario-based risk of systems.

Keywords: Cascading failure; vulnerability; graph theory; renewable energy; uncertainty. (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:207:y:2021:i:c:s0951832020308450

DOI: 10.1016/j.ress.2020.107354

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