Joint Configuration and Optimization of Multi-microgrid Shared Energy Storage Based on Coalition Game

doi:10.11930/j.issn.1004-9649.202204050

Abstract

Abstract: In the context of achieving carbon peak and carbon neutrality, it is urgent to fully dispatch flexible resources in new power systems. At the same time, the concept of shared energy storage replaces traditional economic operation modes of energy storage and has revolutionary significance for improving the operation efficiency of energy storage. Considering that the capacity configuration and operation optimization of energy storage equipment are coupled, this paper adopts an energy cell–organization framework, proposes a two-stage multi-objective optimal configuration scheme of the shared energy storage based on a coalition game, and fairly allocates the coalition cooperation costs by using the Shapley method. Firstly, a multi-objective total energy storage configuration model is established, with equipment investment, power fluctuations, and electricity selling and purchase prices considered. Based on the NSGA2 algorithm, the Pareto frontier of the coalition’s overall energy storage planning is obtained. Then, with the principle of minimum interaction power between cells, the internal energy storage capacity and power configuration of each cell are calculated, respectively. By comparing the benefits of coalition cooperation with the cooperation benefits divided by participant groups, the paper determines the stability of the energy cell coalition and allocates the cost and interest of each energy cell according to the Shapley method. Finally, the effectiveness of the proposed method is verified by the comparative analysis of different cooperation schemes in the game cases of three energy cells that involve residential, commercial, and industrial aspects.

Key words: multi-microgrid, shared energy storage, capacity configuration, coalition game, multi-objective optimization, Shapley value

JIANG Congwei, OU Qinghe, WU Zhongchao, ZHANG Jian, YANG Shu, ZHU Jianan, AI Qian. Joint Configuration and Optimization of Multi-microgrid Shared Energy Storage Based on Coalition Game[J]. Electric Power, 2022, 55(12): 11-21.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202204050

https://www.electricpower.com.cn/EN/Y2022/V55/I12/11

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