DocumentCode
2018047
Title
Evaluation of intelligent distribution network response to plug-in hybrid electric vehicles
Author
Sheikhi, Akram ; Maani, A. ; Ranjbar, A.M.
Author_Institution
Sharif Univ. of Technol., Tehran, Iran
fYear
2013
fDate
16-20 June 2013
Firstpage
1
Lastpage
6
Abstract
Plug-in Hybrid Electric Vehicles (PHEV) have the potential to limit emissions and reduce the cost of transportation. Although wide scale adoption of plug-in vehicles is still a few years away, politicians, electric utilities, and auto companies are eagerly awaiting the opportunities that may arise from reduction of emissions and gasoline and oil consumption, new services and increased revenues, and new markets that would create new jobs. For consumers, plug-in vehicles will significantly lower operational costs when compared with traditional gasoline cars. The savings are potentially high, in average, as electricity cost mile work out to about one forth of gasoline. But it is noticeable to consider PHEV effects on distribution systems. Plug-in vehicles will represent a substantial new load on the existing distribution networks and will significantly alter the load pattern of consumption. In this paper, influence of intelligent distribution network on plug-in hybrid electric vehicle penetration level is investigated. It is shown that cost saving from society point of view follows an ∩-shape trajectory by increase in plug-in hybrid electric vehicles´ penetration level in a definite smart grid level. It is demonstrated by increasing smart grid penetration level, optimum number of PHEV increase significantly.
Keywords
costing; hybrid electric vehicles; intelligent networks; cost saving; intelligent distribution network; operational costs; plug-in hybrid electric vehicles; Electricity; Hybrid electric vehicles; Petroleum; Power generation; Smart grids; Trajectory; CO2 emission; distribution systems; oil import; penetration level; plug-in hybrid electric vehicle; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location
Grenoble
Type
conf
DOI
10.1109/PTC.2013.6652184
Filename
6652184
Link To Document