Research on Distribution Network Fault Recovery Reconfiguration Considering Distributed Generations

Abstract

Abstract In view of the increasing penetration rate of distributed power in the distribution network, the traditional fault recovery reconfiguration method of distribution network needs to be further improved. An economic optimization model of distribution network fault recovery reconfiguration considering different types of distributed generations is proposed. This model takes into account the minimum number of switching operations as target and considers the impact of network active loss on restorative reconfiguration. Integer coding quantum particle swarm optimization algorithm is applied to the fault recovery reconfiguration optimization model and a fault recoverability discriminant method is presented. This method can classify the fault network into recoverable power-lossing area and non-recoverable power-lossing area. Recovering the fault recovery method given by the recoverable power loss area, and restoring the power supply to the unrecoverable power loss area according to the distributed power supply condition connected to the area. The simulation results show that the proposed method can be applied to the fault recovery reconfiguration of distribution network with distributed power accurately and efficiently.