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Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

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  • Tiejiang Yuan

    (Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Jinjun Wang

    (Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Yuhang Guan

    (State Grid Tongling Power Supply Company, Tongling 244000, China)

  • Zheng Liu

    (School of Engineering & Applied Science, Aston University, Birmingham, Birmingham B4 7ET, UK)

  • Xinfu Song

    (State Grid Xinjiang Electric Power Corporation, Urumqi 830002, China)

  • Yong Che

    (State Grid Xinjiang Electric Power Corporation, Urumqi 830002, China)

  • Wenping Cao

    (Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
    School of Engineering & Applied Science, Aston University, Birmingham, Birmingham B4 7ET, UK)

Abstract

This paper presents a doubly fed induction generator (DFIG) wind power system with hydrogen energy storage, with a focus on its virtual inertia adaptive control. Conventionally, a synchronous generator has a large inertia from its rotating rotor, and thus its kinetic energy can be used to damp out fluctuations from the grid. However, DFIGs do not provide such a mechanism as their rotor is disconnected with the power grid, owing to the use of back-to-back power converters between the two. In this paper, a hydrogen energy storage system is utilized to provide a virtual inertia so as to dampen the disturbances and support the grid’s stability. An analytical model is developed based on experimental data and test results show that: (1) the proposed method is effective in supporting the grid frequency; (2) the maximum power point tracking is achieved by implementing this proposed system; and, (3) the DFIG efficiency is improved. The developed system is technically viable and can be applied to medium and large wind power systems. The hydrogen energy storage is a clean and environmental-friendly technology, and can increase the renewable energy penetration in the power network.

Suggested Citation

  • Tiejiang Yuan & Jinjun Wang & Yuhang Guan & Zheng Liu & Xinfu Song & Yong Che & Wenping Cao, 2018. "Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage," Energies, MDPI, vol. 11(4), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:904-:d:140724
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    References listed on IDEAS

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    Cited by:

    1. Yaozhen Han & Ronglin Ma, 2019. "Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage," Energies, MDPI, vol. 12(20), pages 1-18, October.
    2. Shengqi Zhang & Yateendra Mishra & Bei Yuan & Jianfeng Zhao & Mohammad Shahidehpour, 2018. "Primary Frequency Controller with Prediction-Based Droop Coefficient for Wind-Storage Systems under Spot Market Rules," Energies, MDPI, vol. 11(9), pages 1-19, September.
    3. Xiangwu Yan & Xuewei Sun, 2020. "Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor," Energies, MDPI, vol. 13(14), pages 1-19, July.
    4. Hubert Bialas & Ryszard Pawelek & Irena Wasiak, 2021. "A Simulation Model for Providing Analysis of Wind Farms Frequency and Voltage Regulation Services in an Electrical Power System," Energies, MDPI, vol. 14(8), pages 1-17, April.
    5. Yifei Wang & Youxin Yuan, 2019. "Inertia Provision and Small Signal Stability Analysis of a Wind-Power Generation System Using Phase-Locked Synchronized Equation," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    6. Tai Li & Leqiu Wang & Yanbo Wang & Guohai Liu & Zhiyu Zhu & Yongwei Zhang & Li Zhao & Zhicheng Ji, 2021. "Data-Driven Virtual Inertia Control Method of Doubly Fed Wind Turbine," Energies, MDPI, vol. 14(17), pages 1-18, September.

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