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A Model Predictive Control Based Optimal Task Allocation among Multiple Energy Storage Systems for Secondary Frequency Regulation Service Provision

Author

Listed:
  • Xiuli Wang

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030031, China)

  • Xudong Li

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030031, China)

  • Weidong Ni

    (Guodian Nanjing Automation Co., Ltd., Nanjing 210032, China)

  • Fushuan Wen

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Power system stability has been suffering increasing threats with the ever-growing penetration of intermittent renewable generation such as wind power and solar power. Battery energy storage systems (BESSs) could mitigate frequency fluctuation of the power system because of their accurate regulation capability and rapid response. By dividing the Area Control Error (ACE) signal and the State of Charge (SOC) of battery energy storage systems into different intervals, the frequency control task of BESSs could be determined by considering the frequency control demand of the power grid in each interval and SOC self-recovery. The well-developed model predictive control can be employed to attain the optimal control variable sequence of BESSs in the following time, which can determine the output depths of BESSs and action timing at different intervals. The simulation platform MATLAB/Simulink is used to build two secondary frequency control scenarios of BESSs for providing frequency regulation service. The feasibility of the presented strategy is demonstrated by simulation results of a sample system.

Suggested Citation

  • Xiuli Wang & Xudong Li & Weidong Ni & Fushuan Wen, 2023. "A Model Predictive Control Based Optimal Task Allocation among Multiple Energy Storage Systems for Secondary Frequency Regulation Service Provision," Energies, MDPI, vol. 16(3), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1228-:d:1044645
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    Cited by:

    1. Tian Mao & Shan He & Yingcong Guan & Mingbo Liu & Wenmeng Zhao & Tao Wang & Wenjun Tang, 2023. "A Novel Allocation Strategy Based on the Model Predictive Control of Primary Frequency Regulation Power for Multiple Distributed Energy Storage Aggregators," Energies, MDPI, vol. 16(17), pages 1-21, August.

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