Joint optimization of charging station and energy storage economic capacity based on the effect of alternative energy storage of electric vehicle

Tao Yi, Xiaobin Cheng, Yaxuan Chen and Jinpeng Liu

Energy, 2020, vol. 208, issue C

Abstract: This paper studies the capacity of electric vehicle charging station (EVCS) and energy storage, and the optimization problem and model of electric vehicle (EV) charging scheduling plan. Based on the alternative energy storage effect of EVs, it is committed to improve the renewable energy consumption capacity in micro-grid, reduce the EVCS and energy storage capacity, and improve the comprehensive benefits of micro-grid investors. In this paper, considering the factors that affect the efficiency and system security, the determination model of EVCS and energy storage capacity is established, and the traditional simulated annealing algorithm (SA) is improved to create a disturbance mechanism for the optimization of charging scheduling plan, and the joint optimization is realized. The empirical analysis results show that the EVCS and energy storage capacity are reduced by about 50%, and the benefit of micro-grid investors is increased by about 7%. Therefore, this study can provide solutions for the planning of micro-grid with distributed energy, conventional users, energy storage and adjustable load, maximize renewable energy consumption and improve the satisfaction of all participants. Keywords: Electric vehicle charging station; Alternative energy storage effect; Net annual value; Improved simulated annealing algorithm; Joint capacity optimization.

Keywords: Electric vehicle charging station; Alternative energy storage effect; Net annual value; Improved simulated annealing algorithm; Joint capacity optimization (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:208:y:2020:i:c:s036054422031464x

DOI: 10.1016/j.energy.2020.118357

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