A Study Of Fault Section Detection In Distribution Network

Fault Section Detection in distribution network is an important aspect of distribution automation. When there is a fault in the distribution system, it can fast locate the fault and separate the load which connect the fault by operating switches according to thereal-time structure of the distribution network. Then it can find an operating pattern by changing the status of the tie or sectionalizing switches.The fault sections location in distribution networks based the unified matrix algorithm may result in the false results under the information mutation mode; The method of fault section diagnosis of distribution networks based on new neural network is presented in this paper. The method has high fault-tolerance performance.This paper comprehensively states the principle and conception of ANN, the author makes a deeper research on such aspects about BP ANN as its algorithmic theory,constructure, initial value, and a model about Fault Section Detection in distribution networks based on the analysis of the distribution network is proposed. This method has high fault-tolerance performance and the test results have verified its correctness.The author studies the case of BP ANN applying in engineering of Fault Section Detection in Distribution network.The simulation system is constituted with MATLAB. The results of the analysis and simulation denote that the method proposed in this paper is efficient and reliable.