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A Hierarchical Cooperative Frequency Regulation Control Strategy of Wind-Storage-Load in a Microgrid Based on Model Prediction

Author

Listed:
  • Yicong Wang

    (State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China)

  • Chang Liu

    (State Grid Hubei Electric Power Research Institute, Wuhan 430077, China)

  • Zhiwei Liu

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Tingtao Wang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Fangchao Ke

    (State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China)

  • Dongjun Yang

    (State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China)

  • Dongyin Zhang

    (State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China)

  • Shihong Miao

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

In order to give full play to the frequency regulation ability of multiple types of resources such as wind power, energy storage, and controllable load in a microgrid, this paper proposes a hierarchical cooperative frequency regulation control strategy of wind-storage-load in a microgrid based on model prediction. Firstly, according to the operation characteristics of each resource in the microgrid, a hierarchical cooperative frequency regulation architecture of wind-storage-load is constructed. On this basis, the frequency regulation control models of wind power, energy storage, and controllable load are established, respectively, and the calculation method of the characteristic index of the system frequency response is proposed. Then, taking the maximum frequency deviation as the stratification index, a hierarchical cooperative frequency regulation control strategy of wind-storage-load based on model prediction is proposed, and a power compensation strategy for connecting the wind turbine frequency support is proposed for the wind turbine speed recovery stage. Finally, a microgrid model including wind power, energy storage, and controllable load is built on Matlab/Simulink for simulation analysis. The simulation results show that the proposed control strategy can control wind power, energy storage, and controllable load to participate in frequency modulation in advance, and improve the frequency stability of the system.

Suggested Citation

  • Yicong Wang & Chang Liu & Zhiwei Liu & Tingtao Wang & Fangchao Ke & Dongjun Yang & Dongyin Zhang & Shihong Miao, 2023. "A Hierarchical Cooperative Frequency Regulation Control Strategy of Wind-Storage-Load in a Microgrid Based on Model Prediction," Energies, MDPI, vol. 16(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1886-:d:1067922
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    References listed on IDEAS

    as
    1. Sijia Tu & Bingda Zhang & Xianglong Jin, 2019. "Research on DFIG-ES System to Enhance the Fast-Frequency Response Capability of Wind Farms," Energies, MDPI, vol. 12(18), pages 1-20, September.
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