Fault Recovery and Reconstruction Model for Distribution Networks Based on NSGA-III Algorithm

In this paper, an optimization model for fault recovery and reconfiguration of distribution networks based on the Non-dominated Sorting Genetic Algorithm III (NSGA-III) algorithm is proposed to improve the power supply recovery capability and operational performance of distribution networks after faults by optimizing the network topology and using distributed power sources (DG) to form power islands. Experimental validation is carried out through the IEEE 33-node system, and the results show that the method can effectively balance switching operations, network losses and voltage offsets while prioritizing the restoration of important loads, which verifies the effectiveness and practicality of the proposed model.