Economic analysis of auxiliary service by V2G: City comparison cases
Due to the increasing realization of environmental protection and energy structure optimization, the scale of electric vehicles (EV) is gradually expanding. However, the scale-up of EV brings new challenges about the security and economics of power system. The use of vehicle-to-grid (V2G) can not on...
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doaj-4ca0832a04994ac98dbb9895e9ab4c172020-12-23T05:02:37ZengElsevierEnergy Reports2352-48472020-12-016509514Economic analysis of auxiliary service by V2G: City comparison casesChunqi Zhou0Yue Xiang1Yuan Huang2Xiangyu Wei3Youbo Liu4Junyong Liu5College of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCorresponding author.; College of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaDue to the increasing realization of environmental protection and energy structure optimization, the scale of electric vehicles (EV) is gradually expanding. However, the scale-up of EV brings new challenges about the security and economics of power system. The use of vehicle-to-grid (V2G) can not only reduce the electrical load, but also provide additional benefits for EV owners. This paper presents a value analysis model for EV aggregators to participate in ancillary services by using V2G in Shanghai and Chengdu. The potential regulatory capacity and economic benefits of V2G are analyzed based on the various demands and charge prices in different area. The results show that V2G can obviously mitigate the load pressure and save charge cost for EV owners both in Shanghai and Chengdu.http://www.sciencedirect.com/science/article/pii/S2352484720316310V2GEV aggregatorAncillary serviceRegulator capacityEconomic benefits |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chunqi Zhou Yue Xiang Yuan Huang Xiangyu Wei Youbo Liu Junyong Liu |
spellingShingle |
Chunqi Zhou Yue Xiang Yuan Huang Xiangyu Wei Youbo Liu Junyong Liu Economic analysis of auxiliary service by V2G: City comparison cases Energy Reports V2G EV aggregator Ancillary service Regulator capacity Economic benefits |
author_facet |
Chunqi Zhou Yue Xiang Yuan Huang Xiangyu Wei Youbo Liu Junyong Liu |
author_sort |
Chunqi Zhou |
title |
Economic analysis of auxiliary service by V2G: City comparison cases |
title_short |
Economic analysis of auxiliary service by V2G: City comparison cases |
title_full |
Economic analysis of auxiliary service by V2G: City comparison cases |
title_fullStr |
Economic analysis of auxiliary service by V2G: City comparison cases |
title_full_unstemmed |
Economic analysis of auxiliary service by V2G: City comparison cases |
title_sort |
economic analysis of auxiliary service by v2g: city comparison cases |
publisher |
Elsevier |
series |
Energy Reports |
issn |
2352-4847 |
publishDate |
2020-12-01 |
description |
Due to the increasing realization of environmental protection and energy structure optimization, the scale of electric vehicles (EV) is gradually expanding. However, the scale-up of EV brings new challenges about the security and economics of power system. The use of vehicle-to-grid (V2G) can not only reduce the electrical load, but also provide additional benefits for EV owners. This paper presents a value analysis model for EV aggregators to participate in ancillary services by using V2G in Shanghai and Chengdu. The potential regulatory capacity and economic benefits of V2G are analyzed based on the various demands and charge prices in different area. The results show that V2G can obviously mitigate the load pressure and save charge cost for EV owners both in Shanghai and Chengdu. |
topic |
V2G EV aggregator Ancillary service Regulator capacity Economic benefits |
url |
http://www.sciencedirect.com/science/article/pii/S2352484720316310 |
work_keys_str_mv |
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1724373297794121728 |