Modeling the impact of vehicle-to-grid discharge technology on transport and power systems

被引：26

作者：

Ding, Yanyan ^{[1
]}

Li, Xinwei ^{[2
,3
]}

Jian, Sisi ^{[1
]}

机构：

[1] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R China

[2] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China

[3] Minist Educ, Key Lab Complex Syst Anal & Management Decis, Beijing 100191, Peoples R China

来源：

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2022年 / 105卷

基金：

中国国家自然科学基金;

关键词：

Electric vehicles; V2G; Commute congestion; Bottleneck; PUBLIC CHARGING STATIONS; ELECTRIC VEHICLES; RENEWABLE ENERGY; BOTTLENECK CONGESTION; CAPACITY; OPTIMIZATION; SERVICES; NETWORK; TIME;

D O I：

10.1016/j.trd.2022.103220

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Vehicle-to-grid (V2G) technology enables electric vehicles (EVs) to discharge unused power to the power grid, allowing EVs to serve as flexible energy resources. Although this technology promises benefits to power systems, its impact on transport systems is unknown. We investigate the interaction between transport and power systems with V2G during co-existing peak periods. Commuters choosing to discharge earn rewards while encountering additional delay costs and altering departure time. A bottleneck model is used to characterize drivers' departure time and discharge choices. Possible queue patterns and occurrence conditions are derived. Traffic congestion is proved to be reduced compared to the without V2G case when commuters choosing to discharge arrive at the bottleneck earlier than those choosing not to discharge. We also derive the sufficient condition of the "win-win-win" situation for EV drivers, power and transport systems and develop a decision tree for the power system to set the discharge reward optimally.

引用

页数：20

共 47 条

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