Research on Multi-objective Optimization Method for DG's Locating and Sizing in Distribution Network Based on PSO

Distributed generator (DG) has been rapidly developed in recent years as its advantages of environmental protection, economy, and flexibility. Distribution network with DG represents different characteristics in the reliability, power flow, and loss with traditional one. And its impacts are not the same with different DG's access position and capacity. As the problem of distribution and location constants for distribution network with DGs is nonlinear and contains discrete variables, traditional optimization methods are difficult to solve such problems. This paper proposes a DG's locating and sizing optimization methods in distribution network system based on particle swarm optimization (PSO) algorithm. Firstly, the minimization of the network loss and the minimization of cost are selected as the optimization objectives. A multi-objective optimization model for distribution network with DGs is established. The PSO algorithm is introduced, and the optimization problem is solved by using forward generation method. Finally, an IEEE 69-node power distribution network system is used as an example for simulation analysis to verify the validity of the proposed method.