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Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation

Author

Listed:
  • Junhui Li

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Yunbao Ma

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Gang Mu

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Xichao Feng

    (Shenyang Power Supply Bureau, State Grid Liaoning Electric Power Company Limited, Shenyang 110811, China)

  • Gangui Yan

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Gan Guo

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Tianyang Zhang

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

Large scale wind power integration has a negative influence on the frequency response. Assistant measurement improves the frequency stability of power systems under high wind penetration. The Proportional Curtailment Strategy (PCS) for wind turbines provides a primary frequency reserve for power systems. To solve the worthless curtailed wind power, the PCS is used to improve the utilization of wind power curtailment. Then the wind turbine and the lithium battery Energy Storage System (ESS) provide primary frequency reserves together. Different control strategies of ESS have been proposed based on the different methods for selecting valid reserves. The economic benefits of different control strategies have been compared based on the same frequency regulation reserve. The optimal control strategy is the maximum method. The economic benefit of the maximum value method is ¥4,445,300.

Suggested Citation

  • Junhui Li & Yunbao Ma & Gang Mu & Xichao Feng & Gangui Yan & Gan Guo & Tianyang Zhang, 2018. "Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation," Energies, MDPI, vol. 11(6), pages 1-16, May.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1396-:d:149724
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    References listed on IDEAS

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    Cited by:

    1. SungHoon Lim & Taewan Kim & Kipo Yoon & DongHee Choi & Jung-Wook Park, 2022. "A Study on Frequency Stability and Primary Frequency Response of the Korean Electric Power System Considering the High Penetration of Wind Power," Energies, MDPI, vol. 15(5), pages 1-16, February.
    2. Wook-Won Kim & Jong-Keun Park & Yong-Tae Yoon & Mun-Kyeom Kim, 2018. "Transmission Expansion Planning under Uncertainty for Investment Options with Various Lead-Times," Energies, MDPI, vol. 11(9), pages 1-19, September.
    3. Hector Beltran & Sam Harrison & Agustí Egea-Àlvarez & Lie Xu, 2020. "Techno-Economic Assessment of Energy Storage Technologies for Inertia Response and Frequency Support from Wind Farms," Energies, MDPI, vol. 13(13), pages 1-21, July.
    4. Diego Mejía-Giraldo & Gregorio Velásquez-Gomez & Nicolás Muñoz-Galeano & Juan Bernardo Cano-Quintero & Santiago Lemos-Cano, 2019. "A BESS Sizing Strategy for Primary Frequency Regulation Support of Solar Photovoltaic Plants," Energies, MDPI, vol. 12(2), pages 1-16, January.
    5. Natascia Andrenacci & Elio Chiodo & Davide Lauria & Fabio Mottola, 2018. "Life Cycle Estimation of Battery Energy Storage Systems for Primary Frequency Regulation," Energies, MDPI, vol. 11(12), pages 1-24, November.
    6. Gan, Wei & Ai, Xiaomeng & Fang, Jiakun & Yan, Mingyu & Yao, Wei & Zuo, Wenping & Wen, Jinyu, 2019. "Security constrained co-planning of transmission expansion and energy storage," Applied Energy, Elsevier, vol. 239(C), pages 383-394.
    7. Cuiping Li & Shining Zhang & Jiaxing Zhang & Jun Qi & Junhui Li & Qi Guo & Hongfei You, 2018. "Method for the Energy Storage Configuration of Wind Power Plants with Energy Storage Systems used for Black-Start," Energies, MDPI, vol. 11(12), pages 1-16, December.
    8. Jia-Jue Li & Bao-Zhu Shao & Jun-Hui Li & Wei-Chun Ge & Jia-Hui Zhang & Heng-Yu Zhou, 2018. "Intelligent Regulation Method for a Controllable Load Used for Improving Wind Power Integration," Energies, MDPI, vol. 11(11), pages 1-14, November.

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