Journal of Shandong University(Engineering Science) ›› 2025, Vol. 55 ›› Issue (2): 37-44.doi: 10.6040/j.issn.1672-3961.0.2023.308

• Electrical Engineering—Special Issue for Smart Energy (Chaired by Prof. ZHANG Hengxu) • Previous Articles     Next Articles

A cooperative control strategy of integrated photovoltaic-energy storage system considering SOC security boundary

WANG Shibo1, SUN Shumin1, CHENG Yan1, ZHOU Guangqi1, GUAN Yifei1, LIU Yiyuan1, ZHANG Zhiqian2, ZHANG Zhenbin2*   

  1. WANG Shibo1, SUN Shumin1, CHENG Yan1, ZHOU Guangqi1, GUAN Yifei1, LIU Yiyuan1, ZHANG Zhiqian2, ZHANG Zhenbin2*(1. State Grid Shandong Electric Power Research Institute, Jinan 250003, Shandong, China;
    2. School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China
  • Published:2025-04-15

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Abstract: To solve the problems of accelerated battery aging, poor economic performance, and slow dynamic response speed of the integrated photovoltaic-energy storage system, when the state of charge(SOC)of battery exceeded safety boundary, a cooperative control strategy for integrated photovoltaic-energy storage system considering SOC security boundary was proposed, which was based on the operation characteristics of the integrated photovoltaic-energy storage system. When the SOC reached the preset boundary, the working mode of converter was automatically switched to ensure healthy operation of system and endow the system with frequency support capability. A virtual synchronous generator(VSG)strategy based on model predictive control was designed to achieve inertia support for grid and fast response to the load power demand. By constructing a MATLAB/Simulink simulation model of integrated photovoltaic-energy storage converter system, the power-frequency response characteristics of storage batteries at SOC exceeding the boundary were compared and analyzed. The results indicated that compared to traditional dual-loop control, model predictive control provided faster dynamic adjustment performance, and SOC remained within the safety boundary. The proposed method accelerated the power response speed of the integrated photovoltaic-energy storage system, and effectively improved the active support capability to the power grid.

Key words: integrated photovoltaic-energy storage system, virtual synchronous generator, model predictive control, state of charge, cooperative control

CLC Number: 

  • TM615
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