Smart Grid Self-Healing Enhancement E-SOP-Based Recovery Strategy for Flexible Interconnected Distribution Networks

Wanjun Li (), Zhenzhen Xu, Meifeng Chen and Qingfeng Wu
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Wanjun Li: School of Automation Engineering, Xi’an Aeronautical Polytechnic Institute, Xi’an 710089, China
Zhenzhen Xu: School of Automation Engineering, Xi’an Aeronautical Polytechnic Institute, Xi’an 710089, China
Meifeng Chen: School of Automation Engineering, Xi’an Aeronautical Polytechnic Institute, Xi’an 710089, China
Qingfeng Wu: School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China

Energies, 2025, vol. 18, issue 13, 1-15

Abstract: With the development of modern power systems, AC distribution networks face increasing demands for supply flexibility and reliability. Energy storage-based soft open points (E-SOPs), which integrate energy storage systems into the DC side of traditional SOP connecting AC distribution networks, not only maintain power flow control capabilities but also enhance system supply performance, providing a novel approach to AC distribution network fault recovery. To fully leverage the advantages of E-SOPs in handling faults in flexible interconnected AC distribution networks (FIDNs), this paper proposes an E-SOP-based FIDN islanding recovery method. First, the basic structure and control modes of SOPs for AC distribution networks are elaborated, and the E-SOP-based AC distribution network structure is analyzed. Second, with maximizing total load recovery as the objective function, the constraints of E-SOPs are comprehensively considered, and recovery priorities are established based on load importance classification. Then, a multi-dimensional improvement of the dung beetle optimizer (DBO) algorithm is implemented through Logistic chaotic mapping, adaptive parameter adjustment, elite learning mechanisms, and local search strategies, resulting in an efficient solution for AC distribution network power supply restoration. Finally, the proposed FIDN islanding partitioning and fault recovery methods are validated on a double-ended AC distribution network structure. Simulation results demonstrate that the improved DBO (IDBO) algorithm exhibits a superior optimization performance and the proposed method effectively enhances the load recovery capability of AC distribution networks, significantly improving the self-healing ability and operational reliability of AC distribution systems.

Keywords: flexible interconnection; energy storage-based soft open points; power supply restoration; islanding partitioning; dung beetle optimizer algorithm; distribution network (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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