| Title |
Exploring the potential of the vehicle-to-grid service in a sustainable smart city |
| ID_Doc |
41678 |
| Authors |
Sahu, AV; Lee, EHP; Lukszo, Z |
| Title |
Exploring the potential of the vehicle-to-grid service in a sustainable smart city |
| Year |
2018 |
| Published |
|
| DOI |
|
| Abstract |
The vehicle-to-grid (V2G) service is slowly gaining momentum in its capacity to engage as a means of distributed generation. An aggregator's role is pivotal in the need to coordinate vehicles for V2G and maintain the security of supply of its customer base. The paper focuses on comparing the performance of the energy system when an aggregator adopts different strategies in selecting the vehicles for participating in V2G under varying scenarios. A deterministic model is formulated to gauge the extent to which a vehicle can contribute to energy valley filling, in a system powered only by renewables. The difference in the selection strategy results in having an impact on the performance of the energy system. The presentation of different scenarios and their perceived benefits can help an aggregator in decision making and formalizing its strategies. |
| Author Keywords |
vehicle-to-grid; vehicle aggregator; battery electric vehicle; fuel cell electric vehicle |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000434859800026 |
| WoS Category |
Automation & Control Systems; Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Remote Sensing |
| Research Area |
Automation & Control Systems; Computer Science; Engineering; Remote Sensing |
| PDF |
|