Research on high efficiency VIENNA rectifier based on novel particle swarm optimization
The traditional L filter has the disadvantages of poor filtering effect, and the LCL filter is designed to further reduce the harmonic loss of the high frequency switching frequency. When the number of control parameters of the rectifier and the optimization objective function increase, the traditio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2019-03-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000099791 |
| _version_ | 1818916804447174656 |
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| author | Xu Wenqian Shao Ruping Yuan Donglin |
| author_facet | Xu Wenqian Shao Ruping Yuan Donglin |
| author_sort | Xu Wenqian |
| collection | DOAJ |
| description | The traditional L filter has the disadvantages of poor filtering effect, and the LCL filter is designed to further reduce the harmonic loss of the high frequency switching frequency. When the number of control parameters of the rectifier and the optimization objective function increase, the traditional particle swarm optimization(PSO) algorithm can adjust the filter and controller parameters, there are disadvantages such as unstable convergence of the iteration. An improved multi-objective multi-group multi-position multi-velocity particle swarm optimization(MMMMPSO) algorithm is proposed to effectively optimize the design parameters of three-phase VIENNA rectifiers and improve the dynamic and steady-state characteristics of the system. Finally, the simulation and experiments verify the efficiency of the rectifier and the correctness of MMMMPSO. |
| first_indexed | 2024-12-20T00:24:00Z |
| format | Article |
| id | doaj.art-07bc31aff314476f86a26f70e45db756 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-12-20T00:24:00Z |
| publishDate | 2019-03-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-07bc31aff314476f86a26f70e45db7562022-12-21T20:00:07ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982019-03-0145312212610.16157/j.issn.0258-7998.1823483000099791Research on high efficiency VIENNA rectifier based on novel particle swarm optimizationXu Wenqian0Shao Ruping1Yuan Donglin2College of Electrical Engineering and Control Science，Nanjing Tech University，Nanjing 211816，ChinaCollege of Electrical Engineering and Control Science，Nanjing Tech University，Nanjing 211816，ChinaCollege of Electrical Engineering and Control Science，Nanjing Tech University，Nanjing 211816，ChinaThe traditional L filter has the disadvantages of poor filtering effect, and the LCL filter is designed to further reduce the harmonic loss of the high frequency switching frequency. When the number of control parameters of the rectifier and the optimization objective function increase, the traditional particle swarm optimization(PSO) algorithm can adjust the filter and controller parameters, there are disadvantages such as unstable convergence of the iteration. An improved multi-objective multi-group multi-position multi-velocity particle swarm optimization(MMMMPSO) algorithm is proposed to effectively optimize the design parameters of three-phase VIENNA rectifiers and improve the dynamic and steady-state characteristics of the system. Finally, the simulation and experiments verify the efficiency of the rectifier and the correctness of MMMMPSO.http://www.chinaaet.com/article/3000099791VIENNA rectifierLCL filterparticle swarm optimization |
| spellingShingle | Xu Wenqian Shao Ruping Yuan Donglin Research on high efficiency VIENNA rectifier based on novel particle swarm optimization Dianzi Jishu Yingyong VIENNA rectifier LCL filter particle swarm optimization |
| title | Research on high efficiency VIENNA rectifier based on novel particle swarm optimization |
| title_full | Research on high efficiency VIENNA rectifier based on novel particle swarm optimization |
| title_fullStr | Research on high efficiency VIENNA rectifier based on novel particle swarm optimization |
| title_full_unstemmed | Research on high efficiency VIENNA rectifier based on novel particle swarm optimization |
| title_short | Research on high efficiency VIENNA rectifier based on novel particle swarm optimization |
| title_sort | research on high efficiency vienna rectifier based on novel particle swarm optimization |
| topic | VIENNA rectifier LCL filter particle swarm optimization |
| url | http://www.chinaaet.com/article/3000099791 |
| work_keys_str_mv | AT xuwenqian researchonhighefficiencyviennarectifierbasedonnovelparticleswarmoptimization AT shaoruping researchonhighefficiencyviennarectifierbasedonnovelparticleswarmoptimization AT yuandonglin researchonhighefficiencyviennarectifierbasedonnovelparticleswarmoptimization |