An adaptive control strategy for microgrid secondary frequency based on parameter identification

Complex microgrid structures and time-varying conditions, among other factors, cause problems in the mechanical modeling of microgrids, making model-based controller optimization difficult. Therefore, this study proposed a secondary frequency adaptive control strategy based on parameter identificati...

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Main Authors: Yong Shi, Yin Cheng, Bao Xie, Jianhui Su
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-10-01
Series:Global Energy Interconnection
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096511723000816
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author Yong Shi
Yin Cheng
Bao Xie
Jianhui Su
author_facet Yong Shi
Yin Cheng
Bao Xie
Jianhui Su
author_sort Yong Shi
collection DOAJ
description Complex microgrid structures and time-varying conditions, among other factors, cause problems in the mechanical modeling of microgrids, making model-based controller optimization difficult. Therefore, this study proposed a secondary frequency adaptive control strategy based on parameter identification, which uses an online parameter identification method to identify the parameters in the microgrid in real-time. The identified parameters are then used in the secondary frequency adaptive controller to optimize the real-time controller performance. The proposed method realizes adaptive optimization of the controller in the microgrid operation state and is applied to a microgrid with unknown parameters to adjust the controller parameters. Finally, a simulation experiment was conducted to verify the model accuracy and the frequency regulation effect of the proposed adaptive control strategy
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spelling doaj.art-dbec8dc270ee49b398e4bc02d4064c7b2023-11-04T04:18:35ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172023-10-0165592600An adaptive control strategy for microgrid secondary frequency based on parameter identificationYong Shi0Yin Cheng1Bao Xie2Jianhui Su3Photovoltaic System Engineering Research Center of the Ministry of Education, Hefei University of Technology, Hefei 230009, PR ChinaState Grid Wuhu Power Supply Company, Wuhu 241000, PR ChinaPhotovoltaic System Engineering Research Center of the Ministry of Education, Hefei University of Technology, Hefei 230009, PR ChinaPhotovoltaic System Engineering Research Center of the Ministry of Education, Hefei University of Technology, Hefei 230009, PR ChinaComplex microgrid structures and time-varying conditions, among other factors, cause problems in the mechanical modeling of microgrids, making model-based controller optimization difficult. Therefore, this study proposed a secondary frequency adaptive control strategy based on parameter identification, which uses an online parameter identification method to identify the parameters in the microgrid in real-time. The identified parameters are then used in the secondary frequency adaptive controller to optimize the real-time controller performance. The proposed method realizes adaptive optimization of the controller in the microgrid operation state and is applied to a microgrid with unknown parameters to adjust the controller parameters. Finally, a simulation experiment was conducted to verify the model accuracy and the frequency regulation effect of the proposed adaptive control strategyhttp://www.sciencedirect.com/science/article/pii/S2096511723000816Adaptive controlGenetic algorithmMicrogridOnline identification
spellingShingle Yong Shi
Yin Cheng
Bao Xie
Jianhui Su
An adaptive control strategy for microgrid secondary frequency based on parameter identification
Global Energy Interconnection
Adaptive control
Genetic algorithm
Microgrid
Online identification
title An adaptive control strategy for microgrid secondary frequency based on parameter identification
title_full An adaptive control strategy for microgrid secondary frequency based on parameter identification
title_fullStr An adaptive control strategy for microgrid secondary frequency based on parameter identification
title_full_unstemmed An adaptive control strategy for microgrid secondary frequency based on parameter identification
title_short An adaptive control strategy for microgrid secondary frequency based on parameter identification
title_sort adaptive control strategy for microgrid secondary frequency based on parameter identification
topic Adaptive control
Genetic algorithm
Microgrid
Online identification
url http://www.sciencedirect.com/science/article/pii/S2096511723000816
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