Fault Recovery and Reconfiguration of Distribution Network Based on Artificial Intelligence Algorithm

Abstract

AbstractDistribution network is an important part of power system and the last link of power system facing customers. Distribution lines mostly cover urban and rural areas with complex operation environment, which are vulnerable to different types of faults such as bad weather, vegetation growth and equipment failure. With the rapid development of distribution automation technology, people have higher and higher requirements for the reliability of distribution network. The purpose of this paper is to study an efficient distribution network fault recovery and reconstruction platform to solve the problems of time-consuming, labor-consuming, inconvenient management and low degree of automation in the current distribution network fault recovery and reconstruction. In this paper, the distribution network automation is not high in the area as the research object, when the distribution network fault occurs, using the available measurement information of the distribution network, using the method of state estimation to solve the problem of distribution network fault location, put forward the distribution network fault recovery model based on differential evolution algorithm to speed up the location search ability. In this paper, a mathematical model is proposed to solve the problem of fault recovery and reconfiguration. By studying the collaborative work mechanism and process optimization of distribution network fault repair, the demand analysis and design of functional modules of distribution network fault platform are carried out. After the application of the platform, the fault processing efficiency of the distribution network is effectively improved, the fault location time is shortened by 19 min, and the repair time is shortened by 15 min; simplify the personnel allocation of emergency repair and reduce the staffing by 31%; the operation reliability of distribution network is improved by 1.02%.KeywordsDistribution networkDistribution automationState estimationFault recovery