重庆理工大学学报2024，Vol.38Issue(21)：193-199,7.DOI:10.3969/j.issn.1674-8425(z).2024.11.024
V2G模式下考虑多利益主体的优化调度
Optimization scheduling with multiple stakeholders in V2G mode
摘要
Abstract
To address the load fluctuations and stability degradation caused by the random connection of large-scale electric vehicles to the power grid,we propose an optimization scheduling strategy based on the vehicle network interconnection mode,which considers EV drivers,EV As,and the power grid.The fluctuation of grid load is minimized while the benefits of EV As are maximized.The the cost of battery loss is considered while EV drivers'intentions and scheduling ability are emphasized,aiming to minimize the charging costs of electric vehicles.The particle swarm optimization(PSO)is employed to analyze the model.Our results show our model effectively suppresses grid load fluctuations and delivers the highest economic returns to EV As and EV drivers.关键词
电动汽车/车网互联/聚合商/电池损耗/负荷波动Key words
electric vehicle/vehicle-to-grid/aggregator/battery loss/load fluctuation分类
信息技术与安全科学引用本文复制引用
陈将宏,郑新超,龚小玉,敖志强,胡佳慧,赵小涵..V2G模式下考虑多利益主体的优化调度[J].重庆理工大学学报,2024,38(21):193-199,7.基金项目
国家自然科学基金项目(62371271) （62371271）
