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Sizing Energy Storage Systems to Dispatch Wind Power Plants

Author

Listed:
  • Bingqing Xia

    (PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China)

  • Mingqi Wu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
    Huzhou Institute of Zhejiang University, Huzhou 313299, China)

  • Wenbin Yang

    (PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China)

  • Qing Chen

    (PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China)

  • Ji Xiang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
    Huzhou Institute of Zhejiang University, Huzhou 313299, China)

Abstract

Integrating wind power plants into the electricity grid poses challenges due to the intermittent nature of wind energy generation. Energy storage systems (ESSs) have shown promise in mitigating the intermittent variability associated with wind power. This paper presents a distributionally robust optimization (DRO) model for sizing energy storage systems to dispatch wind power plants. The variable wind power is formulated as a moment-based ambiguity set. Dispatchability is described by the expected value of the insufficient power of wind power relative to the dispatch command, which is a sum of nonlinear functions and is taken as the optimal index. A deterministic semi-definite positive model is derived to solve the problem effectively. Numerical studies are conducted to demonstrate the effectiveness and advantages of the proposed method.

Suggested Citation

  • Bingqing Xia & Mingqi Wu & Wenbin Yang & Qing Chen & Ji Xiang, 2024. "Sizing Energy Storage Systems to Dispatch Wind Power Plants," Energies, MDPI, vol. 17(10), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2379-:d:1394966
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