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Evaluation of DFIGs’ Primary Frequency Regulation Capability for Power Systems with High Penetration of Wind Power

Author

Listed:
  • Changgang Li

    (Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China)

  • Zhi Hang

    (Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China)

  • Hengxu Zhang

    (Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China)

  • Qi Guo

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Yihua Zhu

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Vladimir Terzija

    (Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China)

Abstract

Accompanying the continuous increase in wind power penetration, the power system inertia is reduced, and the system frequency regulation performance deteriorates. Wind turbine generators are required to participate in primary frequency regulation (PFR) to support system frequency. Here, the PFR capability of the widely-used doubly-fed induction generator (DFIG) is evaluated to estimate the participation of the DFIG in system frequency control. The frequency regulation model of the DFIG is established and briefly discussed. The equivalent PFR droop coefficient is then deduced from the model using a small signal increment method to evaluate the DFIG’s PFR capability. Key factors affecting the equivalent droop coefficient are studied, and the droop control is optimized to keep the equivalent droop coefficient in the desired range. The proposed method is verified utilizing a provincial power grid model of China.

Suggested Citation

  • Changgang Li & Zhi Hang & Hengxu Zhang & Qi Guo & Yihua Zhu & Vladimir Terzija, 2020. "Evaluation of DFIGs’ Primary Frequency Regulation Capability for Power Systems with High Penetration of Wind Power," Energies, MDPI, vol. 13(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6178-:d:450431
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    References listed on IDEAS

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    1. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    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. Dongyang Sun & Lizhi Sun & Fengjiang Wu & Guangxin Zu, 2018. "Frequency Inertia Response Control of SCESS-DFIG under Fluctuating Wind Speeds Based on Extended State Observers," Energies, MDPI, vol. 11(4), pages 1-27, April.
    4. Xiangwu Yan & Zijun Song & Yun Xu & Ying Sun & Ziheng Wang & Xuewei Sun, 2018. "Study of Inertia and Damping Characteristics of Doubly Fed Induction Generators and Improved Additional Frequency Control Strategy," Energies, MDPI, vol. 12(1), pages 1-15, December.
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    Cited by:

    1. Haoming Liu & Suxiang Yang & Xiaoling Yuan, 2021. "Inertia Control Strategy of DFIG-Based Wind Turbines Considering Low-Frequency Oscillation Suppression," Energies, MDPI, vol. 15(1), pages 1-15, December.

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