Cooperative optimization strategy for large-scale electric vehicle charging and discharging

WanJun Yin and Xuan Qin

Energy, 2022, vol. 258, issue C

Abstract: In order to match the basic load of the power grid and the charging demand of electric vehicles, this paper fully considers the high pollution and non-renewability of coal-fired power generation, the clean and renewable nature of wind power, and the characteristics of intermittent and fluctuation. In this paper, a high-confidence wind power scenario is used to establish a multi-objective optimal scheduling model that considers the V2G characteristics of electric vehicles, generator operating costs, abandoned air volume, environmental pollution, and charging costs for electric vehicle users, the optimal multi-objective scheduling model adopts CPLEX solver tool, by setting the simulation comparison of three scenarios: non-electric vehicle charging, electric vehicle charging, and electric vehicle charging and discharging, the calculation results show that the proposed optimal scheduling strategy realizes the collaborative optimization of thermal power units, wind power and electric vehicles. This paper provides a solution for the optimal scheduling of large-scale electric vehicles connected to the grid.

Keywords: Electric vehicle; V2G; Cost; Collaborative optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:258:y:2022:i:c:s0360544222018680

DOI: 10.1016/j.energy.2022.124969

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