A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter
As a core component of the photovoltaic-storage microgrid systems, three-port DC–DC converters have attracted significant attention in recent years. This paper proposes a multi-vector modulated model predictive control (MVM-MPC) method based on vector analysis for a non-isolated three-port DC–DC con...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/12/3208 |
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| author | Qihui Feng Meng Zhang Yutao Xu Chao Zhang Dunhui Chen Xufeng Yuan |
| author_facet | Qihui Feng Meng Zhang Yutao Xu Chao Zhang Dunhui Chen Xufeng Yuan |
| author_sort | Qihui Feng |
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| description | As a core component of the photovoltaic-storage microgrid systems, three-port DC–DC converters have attracted significant attention in recent years. This paper proposes a multi-vector modulated model predictive control (MVM-MPC) method based on vector analysis for a non-isolated three-port DC–DC converter formed by paralleling two bidirectional DC–DC converters. The proposed modulated MPC method utilizes three basic vectors to calculate the optimal switching sequence for minimizing the error vector. It can significantly minimize voltage ripple while maintaining the nonlinear and dynamic performance characteristics of a traditional MPC. MATLAB/Simulink R2024a simulations and hardware-in-loop (HIL) experimental results demonstrate that, compared with finite control set MPC and traditional two-vector modulated MPC methods, the proposed approach achieves remarkable reductions in current ripple and voltage ripple, along with excellent dynamic performance featuring smooth mode-switching. |
| format | Article |
| id | doaj-art-45911da0f56947ab8f4e90fcdea37c84 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-45911da0f56947ab8f4e90fcdea37c842025-08-20T03:27:14ZengMDPI AGEnergies1996-10732025-06-011812320810.3390/en18123208A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC ConverterQihui Feng0Meng Zhang1Yutao Xu2Chao Zhang3Dunhui Chen4Xufeng Yuan5Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaElectrical Engineering College, Guizhou University, Guiyang 550025, ChinaElectric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaElectrical Engineering College, Guizhou University, Guiyang 550025, ChinaElectric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaElectrical Engineering College, Guizhou University, Guiyang 550025, ChinaAs a core component of the photovoltaic-storage microgrid systems, three-port DC–DC converters have attracted significant attention in recent years. This paper proposes a multi-vector modulated model predictive control (MVM-MPC) method based on vector analysis for a non-isolated three-port DC–DC converter formed by paralleling two bidirectional DC–DC converters. The proposed modulated MPC method utilizes three basic vectors to calculate the optimal switching sequence for minimizing the error vector. It can significantly minimize voltage ripple while maintaining the nonlinear and dynamic performance characteristics of a traditional MPC. MATLAB/Simulink R2024a simulations and hardware-in-loop (HIL) experimental results demonstrate that, compared with finite control set MPC and traditional two-vector modulated MPC methods, the proposed approach achieves remarkable reductions in current ripple and voltage ripple, along with excellent dynamic performance featuring smooth mode-switching.https://www.mdpi.com/1996-1073/18/12/3208photovoltaic-storage systemthree-port DC–DC convertermodulated model predictive controlmode-switching |
| spellingShingle | Qihui Feng Meng Zhang Yutao Xu Chao Zhang Dunhui Chen Xufeng Yuan A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter Energies photovoltaic-storage system three-port DC–DC converter modulated model predictive control mode-switching |
| title | A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter |
| title_full | A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter |
| title_fullStr | A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter |
| title_full_unstemmed | A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter |
| title_short | A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter |
| title_sort | multi vector modulated model predictive control based on coordinated control strategy of a photovoltaic storage three port dc dc converter |
| topic | photovoltaic-storage system three-port DC–DC converter modulated model predictive control mode-switching |
| url | https://www.mdpi.com/1996-1073/18/12/3208 |
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