Compact genetic algorithm for designing LCL filter

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dc.contributor.authorSarnthoy, Puriwat
dc.contributor.authorKaitwanidvilai, Somyot
dc.date.accessioned2026-08-06T10:06:56Z
dc.date.available2026-08-06T10:06:56Z
dc.date.issued2013-07-12
dc.description.abstractThe attenuation of harmonic of LCL filter is better than that of LC filter; thus, this paper focuses on the design of LCL filter. Compact Genetic Algorithm (cGA) is adopted for designing this filter to solve the problem of difficulty of LCL filter design stage. In this paper, three artificial intelligent techniques, Genetic Algorithm, Compact Genetic Algorithm and Particle Swarm Optimization, are adopted to design the filter. Performance of all techniques are investigated and compared.
dc.identifier.citationProceedings of the 6th IASTED Asian Conference on Power and Energy Systems Asiapes 2013, 404-409, 2013
dc.identifier.doi10.2316/P.2013.800-145
dc.identifier.other2-s2.0-84879857410
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/4952
dc.sourceProceedings of the 6th IASTED Asian Conference on Power and Energy Systems Asiapes 2013
dc.subjectCompact genetic algorithm
dc.subjectGenetic algorithm
dc.subjectLCL filter
dc.subjectParticle swam optimization
dc.titleCompact genetic algorithm for designing LCL filter
dc.typeConference Paper

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