NDLI: Multi-objective Optimal Design for Hybrid Active Power Filter Based on Composite Method of Genetic Algorithm and Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Jiang You-hua Liao Dai-fa
Copyright Year	2009
Abstract	A new mixed algorithm of genetic theory and particle swarm optimization (GA-PSO) have been proposed in this paper to tackle the optimal design problem of hybrid active power filter (HAPF) in its parameter design and investment optimization, considering the better convergence of genetic theory and fast convergence of particle swarm optimization. It takes the original investment, the capacity of reactive power compensation and harmonic distortion as three objectives, and penalty function theory have been used to convert multi-objective design problems into single-objective design problems. Finally a HAPF simulation under the background of PSCAD/EMTDC has been analyzed, the results show that the proposed optimal design method of HAPF can save cost, enhance performance-price ratio and filtering performant.
Starting Page	549
Ending Page	553
File Size	333581
Page Count	5
File Format	PDF
ISBN	9781424438358
DOI	10.1109/AICI.2009.295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Reactive power Analytical models Investments Hybrid active power filters Active filters Harmonic distortion Multi-objective Particle swarm optimization Genetic algorithms Convergence Design optimization
Content Type	Text
Resource Type	Article

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