The Multi-Objective Optimization Design of Passive Power Filter Based on PSO

The Passive Power Filter (PPF) is widely used in power system because of its high performance-price ratio. Firstly, the design of PPF is to meet the requirements of filtering effect. Meanwhile it is restricted by the power factor, economic indicators and other conditions. Traditional design method, which is usually based on one economic and technical indexes or engineering experience, is too dependent on experience and unable to reach the optimum design. This paper present a design method of PPF based on Particle Swarm Optimization (PSO) algorithm, the initial investment cost of PPF, reactive power compensation capacity and the filtering effect are taken as three optimization goals. This method is validated by a simulation power system experiments. The experimental results show that the optimization design method of PPF is correct and effective. And the optimized PPF has good comprehensive performance.