KL DIVERGENCE-BASED DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ENERGY STORAGE PLANTS

Li Xuxia; Zhang Linna; Zheng Xiaoming; Li Jia; Deng Jiaojiao; Liang Yan

doi:10.19912/j.0254-0096.tynxb.2021-0049

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 46-55. DOI: 10.19912/j.0254-0096.tynxb.2021-0049

Topics on Key Technologies for Safety of Electrochemical Energy Storage Systems and Echelon Utilization of Decommissioned Power Batteries

KL DIVERGENCE-BASED DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ENERGY STORAGE PLANTS

Li Xuxia¹, Zhang Linna², Zheng Xiaoming¹, Li Jia¹, Deng Jiaojiao¹, Liang Yan¹

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Abstract

The cycle life of electrochemical energy storage is affected by the number of charges and discharg and the depth of discharge. In order to more accurately plan the energy storage plants in the renewable energy power system, this paper proposes a distributionally robust planning method based on Kullback-Leibler （KL） divergence. According to the power function of cycle life of electrochemical energy storage, the life model of energy storage plants with equivalent full cycles times is established. Considering the life model constraints of the energy storage plant and system operating constraints, the planning model of energy storage plants is constructed with the life cycle cost and units’ operating cost minimum as the objective. Furthermore, the uncertainty set of wind power output based on KL divergence is embedded into the planning model of energy storage plants, and the distributionally robust planning model of energy storage plants is transformed into mixed integer linear programming model by sample average approximation method. In the modified IEEE-30 mode system with two wind farms, the advantages of the distributionally robust planning method proposed in this paper are verified.

Key words

energy storage plants / electrochemical energy storage / variable lifetime characteristic / chance constrained / distributionally robust optimization / Kullback-Leibler divergence

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Li Xuxia, Zhang Linna, Zheng Xiaoming, Li Jia, Deng Jiaojiao, Liang Yan. KL DIVERGENCE-BASED DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ENERGY STORAGE PLANTS[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 46-55 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0049

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