Fault Recovery Method for Distributed Distribution Network Based on Island Partition

Abstract

To improve the fault detection and recovery capabilities of distributed distribution networks, a distributed fault recovery method based on island segmentation is proposed. By establishing a fault feature analysis model, an autonomous island system is constructed and optimized using a dynamic distributed linear programming model. The design parameters of fault islands are divided using the branch and bound method, the steepest descent method, and the interior point method. Establish a dynamic parameter analysis model under large-scale uncertainty to achieve fault detection and recovery. The experimental results show that this method can accurately identify fault lines containing distributed power sources, effectively recover fault lines, and solve the problem of complex topology fault recovery.