Reliability Assessment of Distribution Network with Distributed Generation based on BP Neural Network

Abstract

Abstract The distributed power supply is developing rapidly to realize the energy conservation and consumption reduction of the whole society. But the development of distributed generation (DG) will affect the reliable operation of distribution network. A novel reliability assessment model for distribution network with DG was integrated. A series of essential criteria can be extracted by Principal Component Analysis (PCA). And their weights can be obtained based on the entropy method. The assessment results can be calculated by applying BP neural network. Example analysis were implemented to prove the validity of the comprehensive reliability assessment model.