DG Capacity Optimization Method for Distribution Network Based on Improved Particle Swarm Optimization

Abstract:
The unreasonable DG access capacity will lead to the increase of line loss in distribution network. In order to reasonably plan the power grid, the DG capacity optimization method of distribution network is designed based on improved particle swarm optimization. DG grid connection may change the power flow size and direction of the distribution system. When the DG access capacity is greater than the load value of the connected node, it will cause the system reverse power flow, the reduced current of the system tends to be saturated, and even increase the current of the system, thereby increasing the network loss. Taking the minimum daily operation cost and power fluctuation as the objective function, and the power balance constraints to improve the matching ability between DG and intermittent load are added. The improved PSO algorithm is used to solve function and output the optimization results of DG capacity. The test results show that this design method can give full play to the advantages of DG, effectively reduce the network loss and improve the economy of the system.