Multi-objective Optimal Design of Hybrid Active Power Filter based on genetic particle swarm composite algorithm

In dealing with the parameter design and the investment optimization of hybrid active power filter, we comprehensively consider the price, the reactive power compensation and the filter effect in a new mixed algorithm of genetic theory and particle swarm optimization. On this basis, the multi-objective mathematical model of capacity assignment is created and the penalty function theory is applied; and then, the multi-objective design is converted into a single-objective design, making the capacity assignment simple and flexible. Secondly, simulation analysis is carried on the power systems computer aided design/electromagnetic transients including DC(PSCAD/EMTDC); the results demonstrate that the cost performance of the hybrid active power filter is improved by using the proposed method. Finally, experimental results and comparison analysis are presented to confirm the above-mentioned method.