Resilience Assessment Framework for High-Penetration Renewable Energy Power System

Dongyue Zhou, Xueping Pan, Xiaorong Sun () and Funian Hu
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Dongyue Zhou: School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China
Xueping Pan: School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China
Xiaorong Sun: School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China
Funian Hu: School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China

Sustainability, 2025, vol. 17, issue 5, 1-20

Abstract: The random and intermittent nature of renewable energy creates challenges for power systems to cope with sudden disturbances and extreme events. This study establishes a system network model and cascading failure model that consider the power flow relationship between different power sources, and then the impact of renewable energy on power system resilience is analyzed based on complex network theory. Furthermore, several resilience evaluation indexes are proposed from structural and functional perspectives. Using the system model, a resilience curve suitable for renewable energy power systems is proposed. The electrical degree centrality is used as the index to identify key nodes and simulate random attack and deliberate attack modes. The effectiveness of the evaluation method is verified on the IEEE 118-bus system using the typical time, different access ratios, and distribution characteristics of renewable energy. The results indicate that with high penetration of renewable energy, power systems’ resilience may decline by more than 20% in most cases.

Keywords: complex network; extreme event; renewable energy power system; resilience evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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