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

Yicong Wang, Chang Liu, Zhiwei Liu, Tingtao Wang, Fangchao Ke, Dongjun Yang, Dongyin Zhang and Shihong Miao ()
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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

Energies, 2023, vol. 16, issue 4, 1-17

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.

Keywords: microgrid; hierarchical cooperative control; model prediction; virtual inertia; frequency control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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