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Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery

Author

Listed:
  • Xiao Qi

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Yan Bai

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Huanhuan Luo

    (State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004, China)

  • Yiqing Zhang

    (Synergy Innovation Center for Energy Economics of Shandong, Shandong Institute of Business and Technology, Yantai 264005, China)

  • Guiping Zhou

    (State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004, China)

  • Zhonghua Wei

    (State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004, China)

Abstract

Highly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed to solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on the basis of the optimal control strategy. This paper proposes a novel distributed optimal control strategy of a battery energy storage system in an islanded microgrid to provide desired optimal control performance and fast frequency recovery. The proposed control strategy is implemented through a multi-agent system based on consensus algorithm, which only requires information collected through a local communication network. Furthermore, the measurement of supply–demand mismatch is replaced by the control signal obtained from a supplementary controller with the improved linear active disturbance rejection control algorithm. The stability of microgrid frequency can be greatly enhanced through this improvement. Finally, the validity of proposed method is demonstrated by various case studies which are given in this paper.

Suggested Citation

  • Xiao Qi & Yan Bai & Huanhuan Luo & Yiqing Zhang & Guiping Zhou & Zhonghua Wei, 2018. "Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery," Energies, MDPI, vol. 11(8), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:1955-:d:160415
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    References listed on IDEAS

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    4. Dreidy, Mohammad & Mokhlis, H. & Mekhilef, Saad, 2017. "Inertia response and frequency control techniques for renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 144-155.
    5. Xiao Qi & Yan Bai, 2017. "Improved Linear Active Disturbance Rejection Control for Microgrid Frequency Regulation," Energies, MDPI, vol. 10(7), pages 1-20, July.
    6. Yoldaş, Yeliz & Önen, Ahmet & Muyeen, S.M. & Vasilakos, Athanasios V. & Alan, İrfan, 2017. "Enhancing smart grid with microgrids: Challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 205-214.
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    Cited by:

    1. Thanh Van Nguyen & Kyeong-Hwa Kim, 2019. "An Improved Power Management Strategy for MAS-Based Distributed Control of DC Microgrid under Communication Network Problems," Sustainability, MDPI, vol. 12(1), pages 1-27, December.
    2. Houfei Lin & Jianxin Jin & Qidai Lin & Bo Li & Chengzhi Wei & Wenfa Kang & Minyou Chen, 2019. "Distributed Settlement of Frequency Regulation Based on a Battery Energy Storage System," Energies, MDPI, vol. 12(1), pages 1-17, January.

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