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Method for the Energy Storage Configuration of Wind Power Plants with Energy Storage Systems used for Black-Start

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  • Cuiping Li

    (Electrical Engineering College, Northeast Electric Power University, Jilin 13012, China
    Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China)

  • Shining Zhang

    (Electrical Engineering College, Northeast Electric Power University, Jilin 13012, China
    Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China)

  • Jiaxing Zhang

    (NARI Technology Development Limited Company, Jiangsu Province, Nanjing 210061, China)

  • Jun Qi

    (Hohhot Power Supply Bureau, State Grid Inner Mongolia Electric Power Company Limited, Hohhot 010020, China)

  • Junhui Li

    (Electrical Engineering College, Northeast Electric Power University, Jilin 13012, China
    Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China)

  • Qi Guo

    (Hohhot Power Supply Bureau, State Grid Inner Mongolia Electric Power Company Limited, Hohhot 010020, China)

  • Hongfei You

    (Electrical Engineering College, Northeast Electric Power University, Jilin 13012, China
    Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China)

Abstract

With the increasing participation of wind generation in the power system, a wind power plant (WPP) with an energy storage system (ESS) has become one of the options available for a black-start power source. In this article, a method for the energy storage configuration used for black-start is proposed. First, the energy storage capacity for starting a single turbine was determined. Then, a hierarchical planning model was established. This model did not consider the starting efficiency of the WPP, but it did consider the layout of the energy storage in the WPP and the balance of the terminal voltage when starting the WPP. Finally, the feasibility and value of the proposed method and model were verified in a 49.5 MW WPP with an ESS (a power rating of 2.24 MW and energy capacity of about 1.68 MWh). The result suggests that configuring an ESS with a small capacity on the side of the turbine can achieve black-start for a WPP with an ESS as the power source.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3394-:d:187703
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    References listed on IDEAS

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    4. 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.
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    Cited by:

    1. Hassan S Hayajneh & Maximiliano Lainfiesta Herrera & Xuewei Zhang, 2021. "Design of combined stationary and mobile battery energy storage systems," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-21, December.
    2. Tee, Wei Hown & Gan, Chin Kim & Sardi, Junainah, 2024. "Benefits of energy storage systems and its potential applications in Malaysia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    3. Danilo Herrera & Thiago Tricarico & Diego Oliveira & Mauricio Aredes & Eduardo Galván-Díez & Juan M. Carrasco, 2022. "Advanced Local Grid Control System for Offshore Wind Turbines with the Diode-Based Rectifier HVDC Link Implemented in a True Scalable Test Bench," Energies, MDPI, vol. 15(16), pages 1-21, August.
    4. Ning Li & Fuxing He & Wentao Ma, 2019. "Wind Power Prediction Based on Extreme Learning Machine with Kernel Mean p -Power Error Loss," Energies, MDPI, vol. 12(4), pages 1-19, February.
    5. Min-gang Tan & Yi Tang & Chaohai Zhang, 2019. "PMSG-Based Black-Start Technology and Its Field Tests," Energies, MDPI, vol. 12(11), pages 1-18, June.
    6. Marija Miletić & Hrvoje Pandžić & Dechang Yang, 2020. "Operating and Investment Models for Energy Storage Systems," Energies, MDPI, vol. 13(18), pages 1-33, September.

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