Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System
LCL-type converters are widely used in grid-connected systems due to their small size and good filtering performance. However, the resonance suppression problem brought by the LCL filter cannot be ignored. The capacitive current feedback is a commonly used resonance suppression method. In applicatio...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/1959073 |
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| _version_ | 1849410966031171584 |
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| author | Junwei Li Yafang Tang Junke Li |
| author_facet | Junwei Li Yafang Tang Junke Li |
| author_sort | Junwei Li |
| collection | DOAJ |
| description | LCL-type converters are widely used in grid-connected systems due to their small size and good filtering performance. However, the resonance suppression problem brought by the LCL filter cannot be ignored. The capacitive current feedback is a commonly used resonance suppression method. In applications, the grid impedance can cause LCL filter resonance. Thus, this paper presents an adaptive resonance suppression method based on the RBF network optimized by particle swarm optimization. This method optimizes the initial parameters of the RBF network through particle swarm optimization, identifies the parameters of the PI controller by RBF neural network’s own identification capability, and updates the active damping coefficient based on constraints such as stability margin, thereby realizing the LCL-type inverter to maintain the system stability when the grid impedance changes. The effectiveness of the method is verified by experiments. |
| format | Article |
| id | doaj-art-6101da2ce34245c3a92d82d9b984dd7c |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-6101da2ce34245c3a92d82d9b984dd7c2025-08-20T03:34:56ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552020-01-01202010.1155/2020/19590731959073Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected SystemJunwei Li0Yafang Tang1Junke Li2Qiannan Normal University for Nationalities, Duyun, Guizhou 558000, ChinaSchool of Electrical Engineering, Guizhou University, Guiyang, Guizhou 550025, ChinaQiannan Normal University for Nationalities, Duyun, Guizhou 558000, ChinaLCL-type converters are widely used in grid-connected systems due to their small size and good filtering performance. However, the resonance suppression problem brought by the LCL filter cannot be ignored. The capacitive current feedback is a commonly used resonance suppression method. In applications, the grid impedance can cause LCL filter resonance. Thus, this paper presents an adaptive resonance suppression method based on the RBF network optimized by particle swarm optimization. This method optimizes the initial parameters of the RBF network through particle swarm optimization, identifies the parameters of the PI controller by RBF neural network’s own identification capability, and updates the active damping coefficient based on constraints such as stability margin, thereby realizing the LCL-type inverter to maintain the system stability when the grid impedance changes. The effectiveness of the method is verified by experiments.http://dx.doi.org/10.1155/2020/1959073 |
| spellingShingle | Junwei Li Yafang Tang Junke Li Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System Journal of Electrical and Computer Engineering |
| title | Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System |
| title_full | Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System |
| title_fullStr | Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System |
| title_full_unstemmed | Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System |
| title_short | Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System |
| title_sort | research on adaptive suppression of lcl converter resonance grid connected system |
| url | http://dx.doi.org/10.1155/2020/1959073 |
| work_keys_str_mv | AT junweili researchonadaptivesuppressionoflclconverterresonancegridconnectedsystem AT yafangtang researchonadaptivesuppressionoflclconverterresonancegridconnectedsystem AT junkeli researchonadaptivesuppressionoflclconverterresonancegridconnectedsystem |