ENERGY STORAGE CONTROL STRATEGY BASED ON PTIMAL ROLLING CONTROL DOMAIN

Zhao Tuantuan; Wu Changjun; Gong Xiaoyun

doi:10.19912/j.0254-0096.tynxb.2021-1093

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (2) : 247-253. DOI: 10.19912/j.0254-0096.tynxb.2021-1093

ENERGY STORAGE CONTROL STRATEGY BASED ON PTIMAL ROLLING CONTROL DOMAIN

Zhao Tuantuan¹, Wu Changjun², Gong Xiaoyun²

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Abstract

Aiming at the mismatch between predicted power and actual power of wind farm and the uncertainty of wind power generation, an energy storage control strategy for compensating wind power prediction error and restraining wind power fluctuation is proposed. Based on the advanced control theory, combined with the prediction interval of energy storage compensation and the fluctuation interval of energy storage stabilizing the wind power, the optimal rolling control domain of energy storage considering the operation cost of energy storage is extracted. Firstly, aiming at the prediction error target of energy storage compensation, the energy storage control strategy is formulated to extract the energy storage compensation interval within the allowable error. Secondly, considering the wind power fluctuation permissible range and SOC （state of charge） state constraints, the model predictive control is used to solve the energy storage rolling control sequence and determine the energy storage stabilization interval. Finally, considering the operation cost of energy storage, the optimal rolling control interval of energy storage is formulated by combining the compensation interval and suppression interval, and the energy storage capacity is determined on this basis. Taking a wind farm in Xinjiang as an example, the energy storage control strategy proposed in this paper is compared with the traditional control strategy to verify the feasibility and effectiveness of the proposed strategy.

Key words

wind power / energy storage / power smoothing / prediction error compensation / model predictive control / energy storage operation strategy

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Zhao Tuantuan, Wu Changjun, Gong Xiaoyun. ENERGY STORAGE CONTROL STRATEGY BASED ON PTIMAL ROLLING CONTROL DOMAIN[J]. Acta Energiae Solaris Sinica. 2023, 44(2): 247-253 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1093

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