Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization
With combination of particle swarm optimization algorithm and bacterial foraging optimization, an improved BFO-PSO optimized algorithm based on the random inertia factor and asynchronous time-dependent learning factor is used to solve optimal design,s problems of passive filter parameters for hybrid...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2011-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2011.04.001 |
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| _version_ | 1849224841458089984 |
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| author | 李圣清 李永安 罗晓东 曾黎琳 何政平 |
| author_facet | 李圣清 李永安 罗晓东 曾黎琳 何政平 |
| author_sort | 李圣清 |
| collection | DOAJ |
| description | With combination of particle swarm optimization algorithm and bacterial foraging optimization, an improved BFO-PSO optimized algorithm based on the random inertia factor and asynchronous time-dependent learning factor is used to solve optimal design,s problems of passive filter parameters for hybrid active filter. It takes the capacity of reactive power compensation, the harmonic effect after compensation and the original investment cost as three objectives, and restricts the important goal and dynamic constants as a method to achieve comprehensive fitness function, and then solves the multi-objective optimization problem. Simulation result verifies the correctness of the mentioned theory and design. Such design method can be used as a reference for design optimization of other type passive power filters. |
| format | Article |
| id | doaj-art-e9d455864d67410a994af819353d0847 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-e9d455864d67410a994af819353d08472025-08-25T06:52:28ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272011-01-01131682333825Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization李圣清李永安罗晓东曾黎琳何政平With combination of particle swarm optimization algorithm and bacterial foraging optimization, an improved BFO-PSO optimized algorithm based on the random inertia factor and asynchronous time-dependent learning factor is used to solve optimal design,s problems of passive filter parameters for hybrid active filter. It takes the capacity of reactive power compensation, the harmonic effect after compensation and the original investment cost as three objectives, and restricts the important goal and dynamic constants as a method to achieve comprehensive fitness function, and then solves the multi-objective optimization problem. Simulation result verifies the correctness of the mentioned theory and design. Such design method can be used as a reference for design optimization of other type passive power filters.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2011.04.001optimal designpassive power filterBFO-PSO algorithm |
| spellingShingle | 李圣清 李永安 罗晓东 曾黎琳 何政平 Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization Kongzhi Yu Xinxi Jishu optimal design passive power filter BFO-PSO algorithm |
| title | Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization |
| title_full | Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization |
| title_fullStr | Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization |
| title_full_unstemmed | Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization |
| title_short | Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization |
| title_sort | multi objective optimal design for passive part of hybrid active power filter based on bacterial foraging and particle swarm optimization |
| topic | optimal design passive power filter BFO-PSO algorithm |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2011.04.001 |
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