A novel reactive power optimization method for distributed power system using PSO

Abstract

In order to solve the problem of coordinated optimization of capacitor banks and distributed power sources under load fluctuation conditions, a new dynamic reactive power optimization method for distribution networks is proposed. Firstly, a stochastic model of distributed power supply and load is established. The Monte Carlo simulation sampling is used to obtain the distributed power output curve and load curve of 24 h. And the random power flow analysis method based on semi-invariant method is studied. Secondly, the distributed power investment benefit and network active loss are the objective functions, and the multi-objective dynamic reactive power optimization model of active distribution network is established. Then, based on the adaptive particle swarm optimization (PSO) algorithm, the solution method and process of the model are proposed. At last the validity and practicability of the proposed method are verified.