Sizing Energy Storage Systems to Dispatch Wind Power Plants

Bingqing Xia, Mingqi Wu, Wenbin Yang, Qing Chen and Ji Xiang ()
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Bingqing Xia: PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China
Mingqi Wu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, 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

Energies, 2024, vol. 17, issue 10, 1-16

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.

Keywords: dispatch; wind power plant; energy storage system; sizing; distributionally robust optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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