Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current
Due to the large-scale renewable energy connected to the power grid by power electronic converters, the inertia and stability of the power grid is declining. In order to improve the inertia and support the grid recovery, the three-phase converter works as a virtual synchronous generator (VSG) to res...
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MDPI AG
2020-10-01
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Online Access: | https://www.mdpi.com/1996-1073/13/20/5435 |
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author | Nan Jin Chao Pan Yanyan Li Shiyang Hu Jie Fang |
author_facet | Nan Jin Chao Pan Yanyan Li Shiyang Hu Jie Fang |
author_sort | Nan Jin |
collection | DOAJ |
description | Due to the large-scale renewable energy connected to the power grid by power electronic converters, the inertia and stability of the power grid is declining. In order to improve the inertia and support the grid recovery, the three-phase converter works as a virtual synchronous generator (VSG) to respond to the frequency and voltage changes of the power grid. This paper proposes a model predictive control for the virtual synchronous generator (MPC-VSG) strategy, which can automatically control the converter output power with the grid frequency and voltage changes. Further consideration of fault-tolerant ability and reliability, the method based on improved voltage vector selection, and reconstructed current is used for MPC-VSG to ensure continuous operation for three-phase converters that have current-sensor faults, and improve the reconstruction precision. The proposed method can respond to the frequency and voltage changes of the power grid and has fault-tolerant ability, which is easy to realize without pulse width modulation (PWM) and a proportional-integral (PI) controller. The effectiveness of the proposed control strategy is verified by experiment. |
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id | doaj.art-566c6061d8c842f487ff8a66a1bfada8 |
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issn | 1996-1073 |
language | English |
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publishDate | 2020-10-01 |
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series | Energies |
spelling | doaj.art-566c6061d8c842f487ff8a66a1bfada82023-11-20T17:34:05ZengMDPI AGEnergies1996-10732020-10-011320543510.3390/en13205435Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed CurrentNan Jin0Chao Pan1Yanyan Li2Shiyang Hu3Jie Fang4School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, ChinaSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, ChinaSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, ChinaDue to the large-scale renewable energy connected to the power grid by power electronic converters, the inertia and stability of the power grid is declining. In order to improve the inertia and support the grid recovery, the three-phase converter works as a virtual synchronous generator (VSG) to respond to the frequency and voltage changes of the power grid. This paper proposes a model predictive control for the virtual synchronous generator (MPC-VSG) strategy, which can automatically control the converter output power with the grid frequency and voltage changes. Further consideration of fault-tolerant ability and reliability, the method based on improved voltage vector selection, and reconstructed current is used for MPC-VSG to ensure continuous operation for three-phase converters that have current-sensor faults, and improve the reconstruction precision. The proposed method can respond to the frequency and voltage changes of the power grid and has fault-tolerant ability, which is easy to realize without pulse width modulation (PWM) and a proportional-integral (PI) controller. The effectiveness of the proposed control strategy is verified by experiment.https://www.mdpi.com/1996-1073/13/20/5435virtual synchronous generatormodel predictive controlcurrent reconstructionvoltage vector |
spellingShingle | Nan Jin Chao Pan Yanyan Li Shiyang Hu Jie Fang Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current Energies virtual synchronous generator model predictive control current reconstruction voltage vector |
title | Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current |
title_full | Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current |
title_fullStr | Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current |
title_full_unstemmed | Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current |
title_short | Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current |
title_sort | model predictive control for virtual synchronous generator with improved vector selection and reconstructed current |
topic | virtual synchronous generator model predictive control current reconstruction voltage vector |
url | https://www.mdpi.com/1996-1073/13/20/5435 |
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