A Flexible Interconnected Distribution Network Power Supply Restoration Method Based on E-SOP

Lin Jiang, Canbin Wang, Wei Qiu, Hui Xiao () and Wenshan Hu
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Lin Jiang: Zhuhai Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhuhai 519000, China
Canbin Wang: Zhuhai Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhuhai 519000, China
Wei Qiu: Zhuhai Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhuhai 519000, China
Hui Xiao: School of Electricity and Automation, Wuhan University, Wuhan 430072, China
Wenshan Hu: School of Electricity and Automation, Wuhan University, Wuhan 430072, China

Energies, 2025, vol. 18, issue 4, 1-17

Abstract: To enhance the self-healing control capability of soft open points with energy storage (E-SOPs) and optimize the fault recovery performance in flexible interconnected distribution networks, this paper proposes a novel power supply restoration method based on E-SOP. The methodology begins with a comprehensive analysis of the E-SOP’s fundamental architecture and loss model. Subsequently, a dual-objective optimization function is formulated to maximize the sum of nodal active load restoration while minimizing network losses. The optimization problem is transformed into a second-order cone programming formulation under comprehensive operational constraints. To solve this complex optimization model, an innovative hybrid approach combining the Improved Whale Optimization Algorithm (IWOA) with second-order cone programming is developed. The proposed methodology is extensively validated using the IEEE 33-node test system. The experimental results demonstrate that this approach significantly enhances the power supply restoration capability of distribution networks while maintaining practical feasibility.

Keywords: flexible interconnection; soft open points with energy storage; power supply restoration; second-order cone transformation; whale optimization algorithm (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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