Distribution Network State Estimation

Distribution Automation has important means to certify reliability ofpower system. Then it requires distribution systems managementsystems. The distribution state estimation (DSE) play a critical role inDMS. It can improve the capability of monitoring, controlling and so on.Presently, the transmission state estimators (TSE) have been distributionsystem has its own different features. So we should supply the newapproach for DSE.Artifical neural networks are computing architectures that consist of massively Parallel interconnection of simple neural processors. It hasmany merit such as leaning abilities, parallel running and fault-tolerance.This papper use it in DSE to improve the efficiency of thecalculation.The dissertation mainly including:using BP Algorithms to trainingAnn.After identifying the bad data of the measured data then use theANN to realize DSE.