预订
新闻聚合器
光伏系统
可再生能源
关税
环境经济学
电动汽车
汽车工程
电
利润(经济学)
盈利能力指数
计算机科学
充电站
环境科学
业务
电气工程
功率(物理)
工程类
经济
计算机网络
财务
微观经济学
国际贸易
物理
操作系统
量子力学
作者
Ziyi Yue,Yichen Zhou,Yonggang Li,Haochao Sun,Yuyao Zhong,Yuxuan Li
标识
DOI:10.1109/icpsasia55496.2022.9949920
摘要
With the advancement of the economy, the issue of energy supply and pollution has grown increasingly critical. Electric Vehicles (EVs) and innovative energy sources are progressively gaining popularity as a means of reducing the environmental damage caused by societal development. Photovoltaic charging stations can help integrate renewable energy and electric automobiles, and they have a promising future. This paper proposes a reservation charging model based on EV owners' willingness from the perspective of aggregator profitability and reducing the load peak-to-valley difference, as well as pre-consumption of PV for real-time charging EVs without advance reservation, which reduces the negative impact of direct PV access to the distribution network. The model is independent of PV power generation and EV charging data predictions, and it provides a theoretical foundation for how PV charging stations can achieve orderly charging management for EVs according to the peak-valley tariff and grid load characteristics. It can effectively reduce the load peak-valley difference and improve aggregators' net profit through the analysis of calculation cases.
科研通智能强力驱动
Strongly Powered by AbleSci AI