Research on Fault Self-Healing Control Method of Intelligent Power Distribution System Based on Deep Learning

Aiming at the deficiencies of the current distribution network self-healing control, the high time cost of the heuristic algorithm in the recovery control algorithm after fault isolation and the insolvability arising from the intelligent optimization algorithm in finding fault recovery generation strategies, the traditional distribution network self-healing control scheme cannot meet the application requirements of intelligent distribution systems. This paper proposes a data-driven fault recovery strategy for distribution networks. Firstly, a distribution network self-healing control model based on the mechanism model is proposed, and the distribution network reconstruction method is used to realize the distribution network self-healing function. Finally, the effectiveness of the self-healing control model is verified through the simulation analysis of the IEEE 33-node system case, which demonstrates the advantages of the proposed strategy in generating self-healing control solutions for distribution networks quickly and improving network reconfiguration efficiency.