博弈论
调度(生产过程)
电动汽车
计算机科学
压扁
顾客满意度
数学优化
工程类
数学
机械工程
功率(物理)
物理
数理经济学
量子力学
营销
业务
作者
Zaid Siddique,Vaibhav Chaturvedi,Supriya Jaiswal
标识
DOI:10.1109/pedes56012.2022.10080604
摘要
The desire to join green transportation to gain emission-free alternatives has never been more pronounced. Electric vehicle (EV) adoption is completely dependent on available charging infrastructure, its management and control. EV charge scheduling is one of the management technique. This technique addresses several issues like load curve flattening as well as reducing EV operational costs. This paper presents a novel game-theory based algorithm in order to proficiently solve the problem of EV charging schedules. Cost optimization along with customer satisfaction is achieved by simulating a practical scenario considering load curve data of a distribution point in Pune and the results are discussed.
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