ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1551688
Research on Power Supply Restoration in Flexible Interconnected Distribution Networks Considering Wind-Solar Uncertainties
Provisionally accepted
- 1Guangzhou Power Supply Bureau, Guangdong Power Grid Co., LTD., Guangdong, China
- 2Wuhan University, Wuhan, China
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The large-scale integration of Distributed Generation (DG) poses significant challenges to the stable operation of distribution networks. It is particularly crucial to explore the power supply restoration capability of Soft Open Points with Energy Storage (E-SOP) and enhance power supply dependability. To address this issue, this paper proposes a power supply restoration method for flexible interconnected distribution networks considering wind-solar uncertainty. First, the control strategy and mathematical model of E-SOPs are analyzed. Second, a wind-solar uncertainty model is established, with the weighted sum of maximizing restored node active load and minimizing power loss as the objective function, followed by a detailed analysis of constraints. Then, chance constraints are introduced to transform the proposed problem into a Second-Order Cone Programming (SOCP) problem. The Dung Beetle Optimization (DBO) algorithm is improved through Logistic chaotic mapping, golden sine strategy, and position update coefficient to construct a distribution network power supply restoration model. Finally, simulation experiments are conducted on the IEEE 33-node system using a hybrid optimization algorithm that combines Improved Dung Beetle Optimization (IDBO) with SOCP. The experimental results demonstrate that the proposed method can effectively achieve maximum power supply restoration in outage areas and further enhance the self-healing capability of distribution networks, validating the effectiveness and feasibility of the proposed method.
Keywords: flexible interconnection1, distribution network2, wind-solar uncertainty3, dung beetle optimization4, power supply restoration5, chance constraint6, soft open points with energy storage7
Received: 26 Dec 2024; Accepted: 23 Jul 2025.
Copyright: © 2025 Jiang, Wang, Qiu, Xiao and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hui Xiao, Wuhan University, Wuhan, China
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