Multi-objective Optimal Design of Hybrid Active Power Filter

Abstract

To aim at the parameter design and investment optimization of hybrid active power filter, then the price, reactive power compensation method and filter effect are all considered, A new mixed algorithm of genetic theory and particle swarm optimization has been proposed in this paper. Based on these, multi-object mathematical model of capacity assignment is created and penalty function theory is applied, so multi-objective design is converted into single-objective design, the problem of capacity assignment is simple and flexible. Secondly, simulation analysis is used by PSCAD/EMTDC, simulation result demonstrates that cost performance of hybrid active power filter is elevated according to the method. Finally, experimental results and contrastive analysis are presented to confirm the above-mentioned claims.