调度(生产过程)
计算机科学
地铁列车时刻表
电动汽车
电气化
数学优化
汽车工程
电
电气工程
功率(物理)
工程类
数学
物理
量子力学
操作系统
作者
Jiayan Liu,Gang Lin,Sunhua Huang,Yang Zhou,Yong Li,Christian Rehtanz
标识
DOI:10.1109/tte.2020.3033995
摘要
Lack of charging facilities is still a significant barrier to the electrification of the logistic system. How to effectively schedule the electric vehicle (EV) charging power to reduce the charging station operating cost when the number of chargers was limited becomes an important issue. To tackle this issue, an optimal charging scheduling method by responding to the time-of-used (TOU) electricity price is proposed. First, the uncontrolled charging model to fully charge EVs as fast as possible is established. Then, an optimal charging scheduling model by considering the limited number of chargers is proposed to both reduce the charging cost and guarantee the charging demand of each EVs. The proposed model is formulated as a bilevel programming (BP) model. The charger index and available charging duration for each EV are determined at the upper level, while the charging power of each EV at each time slot is determined at the lower level. After that, a solving approach is introduced for the proposed BP model. The efficacy and performance of the proposed charging scheduling method are verified by simulation results.
科研通智能强力驱动
Strongly Powered by AbleSci AI