Open Access

ARTICLE

Fault Self-Healing Cooperative Strategy of New Energy Distribution Network Based on Improved Ant Colony-Genetic Hybrid Algorithm

Fengchao Chen^*, Aoqi Mei, Zheng Liu, Ruhao Wu, Qiwei Li
Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Dongguan, China
* Corresponding Author: Fengchao Chen. Email:
(This article belongs to the Special Issue: Advanced Analytics on Energy Systems)

Energy Engineering https://doi.org/10.32604/ee.2026.072188

Received 21 August 2025; Accepted 11 November 2025; Published online 06 March 2026

Abstract

With the high proportion of new energy access, the traditional fault self-healing mechanism of the distribution network is challenged. Aiming at the demand for fast recovery of new distribution network faults, this paper proposes a fault self-healing cooperative strategy for the new energy distribution network based on an improved ant colony-genetic hybrid algorithm. Firstly, the graph theory adjacency matrix is used to characterize the topology of the distribution network, and the dynamic positioning of new energy nodes is realized. Secondly, based on the output model and load characteristic model of wind, photovoltaic, and energy storage, a two-layer cooperative self-healing model of the distribution network is constructed. The upper layer is based on the improved depth-breadth hybrid search (DFS-BFS) to divide the island, with the maximum weight load recovery and the minimum number of switching actions as the goal, combined with the load priority to dynamically restore the key load. The lower layer uses the improved ant colony-genetic hybrid algorithm to solve the fault recovery path with the minimum total power loss load and the minimum network loss as the goal, generate the optimal switching sequence, and verify the power flow constraints. Finally, the simulation results based on the IEEE 33-bus system show that the proposed method can guarantee the power supply of key loads in the distribution network with high-tech energy penetration, restore the power supply of more load nodes with the least switching operation, and effectively reduce the line loss, which verifies the effectiveness and superiority of the method.

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Keywords

Fault recovery; identification of topology; improved ant colony-genetic hybrid algorithm; distribution network self-healing

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