Multi-objective optimal design for passive part of hybrid active power filter based on particle swarm optimization

Hybrid active power filter (HAPF) has been proved to be a useful approach for harmonic compensation. But its filtering performance largely depends on the optimization of passive power filter (PPF). According to the characteristics of harmonic sources in project, a multi-objective optimal design method for PPF of HAPF is proposed based on advanced particle swarm optimization (PSO). It takes the capacity of reactive power compensation, the original investment and the harmonic distortion as three objectives, and uses the simple and effective PSO to design the PPF parameters, which can reduce manual computation and enhance the speed of optimization. Finally simulation and analogical field experimental results show that the proposed optimal design method can save cost, and enhance the filtering performance. These all verify the superiority and availability of the novel design method.