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Adaptive Droop Gain-Based Event-Triggered Consensus Reactive Power Sharing in Microgrids

Author

Listed:
  • Linyun Xiong

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China)

  • Penghan Li

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Shanghai, Shanghai 201100, China)

  • Chao Wang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China)

  • Sunhua Huang

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Shanghai, Shanghai 201100, China)

  • Jie Wang

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Shanghai, Shanghai 201100, China)

Abstract

This paper proposes an adaptive droop gain-based consensus approach for reactive power sharing in microgrids (MGs) with the event triggered communication protocol (ETCP). A multi-agent system-based network is constructed to establish the communication with distributed generators (DGs) in MGs. An ETCP is proposed to reduce the communication among agents to save resources and improve system reliability, as the communication is only needed when the event triggered condition is fulfilled. A stability analysis is conducted to guarantee the existence of the equilibrium point and the freeness of the Zeno solution. Moreover, an adaptive droop gain is designed to reduce the impact of imbalanced feeder impedances. Four case studies are conducted to verify the effectiveness and performance of the proposed method. The simulation results show that the ETCP-based approach is capable of achieving power sharing consensus, communication reduction and shifting the information exchange mode based on the operation scenarios.

Suggested Citation

  • Linyun Xiong & Penghan Li & Chao Wang & Sunhua Huang & Jie Wang, 2020. "Adaptive Droop Gain-Based Event-Triggered Consensus Reactive Power Sharing in Microgrids," Energies, MDPI, vol. 13(5), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1152-:d:328032
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    References listed on IDEAS

    as
    1. Xiong, Linyun & Li, Penghan & Wang, Ziqiang & Wang, Jie, 2020. "Multi-agent based multi objective renewable energy management for diversified community power consumers," Applied Energy, Elsevier, vol. 259(C).
    2. Huang, Sunhua & Zhou, Bin & Bu, Siqi & Li, Canbing & Zhang, Cong & Wang, Huaizhi & Wang, Tao, 2019. "Robust fixed-time sliding mode control for fractional-order nonlinear hydro-turbine governing system," Renewable Energy, Elsevier, vol. 139(C), pages 447-458.
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