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Coordination Control of a Novel Wind Farm Configuration Including a Hydrogen Storage System and a Gas Turbine

Author

Listed:
  • Shihua Xuan

    (Department of Energy Technology, Aalborg University, Aalborg East DK-9220, Denmark)

  • Weihao Hu

    (Department of Energy Technology, Aalborg University, Aalborg East DK-9220, Denmark)

  • Jun Yao

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Zhe Chen

    (Department of Energy Technology, Aalborg University, Aalborg East DK-9220, Denmark)

Abstract

This paper proposes a novel configuration that combines wind turbines, an electrolyzer, and a gas turbine with the corresponding generator. A control strategy for this configuration is also proposed. The purpose of this configuration and its control strategy is to make the wind farm work like a conventional power plant from a grid’s point of view. The final proposed configuration works properly with the proposed control strategy, the three times per revolution (3p) oscillation frequency is removed and the output power fluctuations caused by wind fluctuation are compensated. The final power output of the proposed configuration is constant like that of a conventional power plant, and it can change according to the different requirements of the transmission system operator.

Suggested Citation

  • Shihua Xuan & Weihao Hu & Jun Yao & Zhe Chen, 2016. "Coordination Control of a Novel Wind Farm Configuration Including a Hydrogen Storage System and a Gas Turbine," Energies, MDPI, vol. 9(7), pages 1-16, July.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:535-:d:73817
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    References listed on IDEAS

    as
    1. Weihao Hu & Yunqian Zhang & Zhe Chen & Yanting Hu, 2013. "Flicker Mitigation by Speed Control of Permanent Magnet Synchronous Generator Variable-Speed Wind Turbines," Energies, MDPI, vol. 6(8), pages 1-15, July.
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    Cited by:

    1. Yin, Xiuxing & Zhang, Wencan & Jiang, Zhansi & Pan, Li, 2020. "Data-driven multi-objective predictive control of offshore wind farm based on evolutionary optimization," Renewable Energy, Elsevier, vol. 160(C), pages 974-986.

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