Artificial neural network approach to network reconfiguration for loss minimization for loss minimization in distribution networks

摘要

Network reconfiguration of distribution systems is an operation in configuration management that determines the switching operations for a minimum loss condition. An artificial neural network (ANN)-based network recon- figuration method is developed to solve the network reconfiguration problem to reduce the real power loss in distribution networks. Training-sets for the ANN are gener- ated by varying the constant P-Q load models and carrying out the off-line network reconfiguration simulations.