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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Main Authors: Nan Jin, Chao Pan, Yanyan Li, Shiyang Hu, Jie Fang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
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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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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AT yanyanli modelpredictivecontrolforvirtualsynchronousgeneratorwithimprovedvectorselectionandreconstructedcurrent
AT shiyanghu modelpredictivecontrolforvirtualsynchronousgeneratorwithimprovedvectorselectionandreconstructedcurrent
AT jiefang modelpredictivecontrolforvirtualsynchronousgeneratorwithimprovedvectorselectionandreconstructedcurrent