Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity
Model predictive control (MPC) is widely used in modular multilevel converter (MMC) control because of its strong robustness, fast dynamic response, and strong stability. Traditional MPC must traverse several switch combinations to accurately regulate the output current and circulating current of th...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9900330/ |
| _version_ | 1811342671517581312 |
|---|---|
| author | Wenzhong Ma Dalong Gong Zengjia Guan Weiguo Li Fancheng Meng Xingyu Liu Yubin Wang |
| author_facet | Wenzhong Ma Dalong Gong Zengjia Guan Weiguo Li Fancheng Meng Xingyu Liu Yubin Wang |
| author_sort | Wenzhong Ma |
| collection | DOAJ |
| description | Model predictive control (MPC) is widely used in modular multilevel converter (MMC) control because of its strong robustness, fast dynamic response, and strong stability. Traditional MPC must traverse several switch combinations to accurately regulate the output current and circulating current of the MMC. Therefore, as the number of sub-module (SM) grows, the controller’s computational complexity grows. This paper proposes a compensatory model predictive current control (CMPCC) for inner loop current control. It immediately estimates the number of SMs required by the bridge arm without scrolling optimization, reducing the amount of calculation of the system and improving the output current and circulating current tracking accuracy to the references. The objective function is established based on the system output current and internal circulation current by developing the discretization mathematical model of MMC. On the basis of minimizing the optimization scope, the compensation prediction is achieved through the volt-second balance, to achieve effective current control. Subsequently, an uneven bucket sorting algorithm is proposed to drastically eliminate the unnecessary sorting process. Finally, both a MATLAB/Simulink model and an experimental platform of MMC are built. To verify the practicality of the proposed control strategy, simulation and hardware experiments are provided. |
| first_indexed | 2024-04-13T19:14:59Z |
| format | Article |
| id | doaj.art-bb0fdfc467a94f339b4ae30338aa12d8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T19:14:59Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bb0fdfc467a94f339b4ae30338aa12d82022-12-22T02:33:42ZengIEEEIEEE Access2169-35362022-01-011010685910687210.1109/ACCESS.2022.32089719900330Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational ComplexityWenzhong Ma0https://orcid.org/0000-0003-3534-5183Dalong Gong1https://orcid.org/0000-0003-1891-9755Zengjia Guan2Weiguo Li3Fancheng Meng4Xingyu Liu5Yubin Wang6https://orcid.org/0000-0002-6732-2464College of New Energy, China University of Petroleum (East China), Qingdao, ChinaCollege of New Energy, China University of Petroleum (East China), Qingdao, ChinaCollege of New Energy, China University of Petroleum (East China), Qingdao, ChinaShandong Energy Group Company Ltd., Jinan, ChinaCollege of New Energy, China University of Petroleum (East China), Qingdao, ChinaCollege of New Energy, China University of Petroleum (East China), Qingdao, ChinaCollege of New Energy, China University of Petroleum (East China), Qingdao, ChinaModel predictive control (MPC) is widely used in modular multilevel converter (MMC) control because of its strong robustness, fast dynamic response, and strong stability. Traditional MPC must traverse several switch combinations to accurately regulate the output current and circulating current of the MMC. Therefore, as the number of sub-module (SM) grows, the controller’s computational complexity grows. This paper proposes a compensatory model predictive current control (CMPCC) for inner loop current control. It immediately estimates the number of SMs required by the bridge arm without scrolling optimization, reducing the amount of calculation of the system and improving the output current and circulating current tracking accuracy to the references. The objective function is established based on the system output current and internal circulation current by developing the discretization mathematical model of MMC. On the basis of minimizing the optimization scope, the compensation prediction is achieved through the volt-second balance, to achieve effective current control. Subsequently, an uneven bucket sorting algorithm is proposed to drastically eliminate the unnecessary sorting process. Finally, both a MATLAB/Simulink model and an experimental platform of MMC are built. To verify the practicality of the proposed control strategy, simulation and hardware experiments are provided.https://ieeexplore.ieee.org/document/9900330/Modular multilevel convertermodel predictive current controloptimization scopecompensation predictionuneven bucket sorting |
| spellingShingle | Wenzhong Ma Dalong Gong Zengjia Guan Weiguo Li Fancheng Meng Xingyu Liu Yubin Wang Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity IEEE Access Modular multilevel converter model predictive current control optimization scope compensation prediction uneven bucket sorting |
| title | Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity |
| title_full | Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity |
| title_fullStr | Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity |
| title_full_unstemmed | Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity |
| title_short | Compensatory Model Predictive Current Control for Modular Multilevel Converter With Reduced Computational Complexity |
| title_sort | compensatory model predictive current control for modular multilevel converter with reduced computational complexity |
| topic | Modular multilevel converter model predictive current control optimization scope compensation prediction uneven bucket sorting |
| url | https://ieeexplore.ieee.org/document/9900330/ |
| work_keys_str_mv | AT wenzhongma compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity AT dalonggong compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity AT zengjiaguan compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity AT weiguoli compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity AT fanchengmeng compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity AT xingyuliu compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity AT yubinwang compensatorymodelpredictivecurrentcontrolformodularmultilevelconverterwithreducedcomputationalcomplexity |