Optimizing Fault-Ride-Through Strategies of Renewable Generation for the Enhancement of Power System Transient Stability and Security

Shuanbao Niu, Jiaze Wu, Cong Li, Chao Duan () and Zhiguo Hao
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Shuanbao Niu: Northwest Branch of State Grid Corporation of China, Xi’an 700048, China
Jiaze Wu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 700049, China
Cong Li: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 700049, China
Chao Duan: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 700049, China
Zhiguo Hao: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 700049, China

Energies, 2025, vol. 18, issue 22, 1-29

Abstract: As renewable energy sources increasingly penetrate power systems, ensuring operational stability during grid faults poses a significant challenge. Conventional fault-ride-through (FRT) control strategies often lack systematic parameter optimization, resulting in limited support for transient rotor angle stability and inadequate suppression of transient overvoltages. This paper introduces a comprehensive optimization framework to address these shortcomings. We first develop a novel quasi-steady-state model that accurately captures critical states governing transient stability and voltage security. Variational analysis at these states yields gradient information to guide stability enhancement. Leveraging this insight, we propose a gradient-informed optimization approach to tune FRT parameters, simultaneously improving transient rotor angle stability and mitigating overvoltages. The effectiveness of the proposed model and method is demonstrated through simulations on a benchmark renewable-integrated power system.

Keywords: renewable energy; stability optimization; rotor angle stability; transient voltage stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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