Optimization of reactive power in distribution networks with DG based on improved particle swarm algorithm

Abstract

The integration of Distributed Generation (DG) into the distribution network can effectively alleviate the problems of energy shortage and air pollution, but the DG output has the characteristics of uncertainty and randomness, and the integration will lead to the change of distribution network tide distribution, which will further lead to the change of distribution network operation mode with the scale development of DG integration. In this paper, we adopt the improved particle swarm algorithm (PSO) for reactive power optimization calculation of distribution network and establish the optimization model with the system network loss as the objective function and node voltage, reactive power compensation output and transformer tapping position as the main constraints. The inertia weights of PSO are improved to make it adaptive with increasing number of iterations, and the acceleration factor is improved so that the whole particle search capability is achieved. Finally, the reactive power optimization analysis is carried out for the IEEE 33-node distribution system containing distributed power sources. The results show that DG can enhance the stability of grid operation and the proposed algorithm has good optimization performance.