You are currently viewing a new version of our website. To view the old version click .
Energies
  • This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
  • Article
  • Open Access

19 November 2025

Research on Power Supply Restoration in Flexible Interconnected Distribution Networks Considering Wind–Solar Uncertainties

,
,
,
and
1
Zhuhai Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhuhai 519000, China
2
School of Electricity and Automation, Wuhan University, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
This article belongs to the Section F1: Electrical Power System

Abstract

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 (FIDN) considering wind–solar uncertainty. First, the control strategy and mathematical model of E-SOP 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 Mixed-Integer Second-Order Cone Programming (MISOCP) model. 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, simulations are conducted on the IEEE 33-node system using a hybrid optimization algorithm that combines Improved Dung Beetle Optimization (IDBO) with MISOCP. The simulation results demonstrate that the proposed method can effectively maximize power supply restoration in outage areas, further enhance the self-healing capability of distribution networks, and verify the feasibility of the method.

Article Metrics

Citations

Article Access Statistics

Article metric data becomes available approximately 24 hours after publication online.