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Hierarchical Distributed Coordinated Control for Battery Energy Storage Systems Participating in Frequency Regulation

Author

Listed:
  • Bingqing Yu

    (School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Qingquan Lv

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

  • Zhenzhen Zhang

    (Electric Power Scientific 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

At present, battery energy storage systems (BESS) have become an important resource for improving the frequency control performance of power grids under the situation of high penetration rates of new energy. Aiming at the problem that the existing control strategy is not sufficient for allocating the frequency regulation power instructions, a hierarchical distributed coordinated control strategy for BESS to participate in the automatic generation control (AGC) of a regional power grid is proposed. At the upper layer, the state of charge (SOC) of BESS and the technical characteristics of different frequency regulation power sources are comprehensively considered to complete the coordinated distribution of frequency regulation commands between BESS and traditional generators; at the lower layer, for the purpose of optimizing the economic operation of the regional power grid, the distributed consistency algorithm is used to control the distributed BESS in order to realize the fine management of power output of BESS. The simulation results indicate that this control strategy can give full play to the technical characteristics of different frequency power sources and improve the frequency regulation of the power grid. The excessive power consumption of BESS is successfully avoided, and the continuous operation of BESS is realized.

Suggested Citation

  • Bingqing Yu & Qingquan Lv & Zhenzhen Zhang & Haiying Dong, 2022. "Hierarchical Distributed Coordinated Control for Battery Energy Storage Systems Participating in Frequency Regulation," Energies, MDPI, vol. 15(19), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7283-:d:933296
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    References listed on IDEAS

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    1. Cui, Zhenhua & Kang, Le & Li, Liwei & Wang, Licheng & Wang, Kai, 2022. "A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures," Renewable Energy, Elsevier, vol. 198(C), pages 1328-1340.
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