Multi-objective Optimal Design of Hybrid Active Power Filter

You-hua JIANG, Jian CHANG, Shu-jin TIAN

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.

Keywords


Hybrid power filter, Improved particle swarm optimization, Multi-object optimal design

Publication Date


2016-11-17 00:00:00


DOI
10.12783/dtetr/amita2016/3604

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