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A Two-Layer Optimization Strategy for Battery Energy Storage Systems to Achieve Primary Frequency Regulation of Power Grid

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  • Wei Chen

    (School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Na Sun

    (School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Zhicheng Ma

    (Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730070, China)

  • Wenfei Liu

    (Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730070, China)

  • Haiying Dong

    (School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

A two-layer optimization strategy for the battery energy storage system is proposed to realize primary frequency regulation of the grid in order to address the frequency fluctuation problem caused by the power dynamic imbalance between the power system and load when a large number of new energy sources are connected to the grid. An integrated control mode combining virtual sag control and virtual inertia control is proposed in the adaptive regulation layer to provide fast frequency support for the grid while effectively reducing steady-state frequency difference fluctuation. The equal consumption micro-increment criterion is used in the equalization control layer to distribute the energy output of each group while maintaining a good battery charge level. The results of the final simulation in Matlab/Simulink show that the proposed control strategy can effectively improve the system’s primary frequency regulation performance.

Suggested Citation

  • Wei Chen & Na Sun & Zhicheng Ma & Wenfei Liu & Haiying Dong, 2023. "A Two-Layer Optimization Strategy for Battery Energy Storage Systems to Achieve Primary Frequency Regulation of Power Grid," Energies, MDPI, vol. 16(6), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2811-:d:1100663
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    References listed on IDEAS

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    1. Natascia Andrenacci & Elio Chiodo & Davide Lauria & Fabio Mottola, 2018. "Life Cycle Estimation of Battery Energy Storage Systems for Primary Frequency Regulation," Energies, MDPI, vol. 11(12), pages 1-24, November.
    2. Yedluri Anil Kumar & Hee-Je Kim, 2018. "Effect of Time on a Hierarchical Corn Skeleton-Like Composite of CoO@ZnO as Capacitive Electrode Material for High Specific Performance Supercapacitors," Energies, MDPI, vol. 11(12), pages 1-16, November.
    3. Wen, Kerui & Li, Weidong & Yu, Samson Shenglong & Li, Ping & Shi, Peng, 2022. "Optimal intra-day operations of behind-the-meter battery storage for primary frequency regulation provision: A hybrid lookahead method," Energy, Elsevier, vol. 247(C).
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    Cited by:

    1. Ji, Jie & Zhou, Mengxiong & Guo, Renwei & Tang, Jiankang & Su, Jiaoyue & Huang, Hui & Sun, Na & Nazir, Muhammad Shahzad & Wang, Yaodong, 2023. "A electric power optimal scheduling study of hybrid energy storage system integrated load prediction technology considering ageing mechanism," Renewable Energy, Elsevier, vol. 215(C).
    2. Chong Shao & Chao Tu & Jiao Yu & Mingdian Wang & Cheng Wang & Haiying Dong, 2024. "Optimal Power Model Predictive Control for Electrochemical Energy Storage Power Station," Energies, MDPI, vol. 17(14), pages 1-18, July.

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