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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
