Non-cooperative Game Theory based Electric Vehicle Charge Scheduling

被引：0

作者：

Siddique, Zaid ^{[1
]}

Chaturvedi, Vaibhav ^{[1
]}

Jaiswal, Supriya ^{[1
]}

机构：

[1] NIT Hamirpur, Elect Engn Dept, Hamirpur, India

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS, PEDES | 2022年

关键词：

EV scheduling; Nash equilibrium; game theory; cost optimization; load flattening; customer satisfaction; MANAGEMENT;

D O I：

10.1109/PEDES56012.2022.10080604

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

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.

引用

页数：5

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