DocumentCode
1778344
Title
Charge control of plug-in electrical vehicles and revenue analysis
Author
Chengcheng Shao ; Xifan Wang ; Chao Du
Author_Institution
Dept. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear
2014
fDate
20-23 May 2014
Firstpage
333
Lastpage
337
Abstract
Electrical vehicles (EVs) have appreciated much attention with the increasing pressure on the environment and energy supply. Considering that user gets revenue by arbitrage, we propose an optimal charge control model for plug-in Electric Vehicles to minimize user charge cost in an open and perfect electricity market. Based on the model, combining the analysis of the charge power demand, we calculate the user revenue expectancy of uncertain trips through the Monte Carlo Simulation and analyze the factors influencing the revenue. The results show that the arbitrage can raise user revenue significantly. In addition, price fluctuation has great effect on user revenue and price signals are able to adjust user charge/discharge scheme effectively.
Keywords
Monte Carlo methods; battery powered vehicles; cost reduction; hybrid electric vehicles; minimisation; optimal control; power markets; pricing; Monte Carlo simulation; charge power demand; electricity market; optimal charge control model; plug-in electrical vehicle; price fluctuation; price signal; uncertain trips; user charge cost minimization; user charge-discharge scheme; user revenue expectancy; Asia; Batteries; Discharges (electric); Electricity; Fluctuations; Smart grids; Vehicles; Battery Characteristics; optimal charge control; price fluctuations; revenue analysis; user behavior;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
Conference_Location
Kuala Lumpur
Type
conf
DOI
10.1109/ISGT-Asia.2014.6873813
Filename
6873813
Link To Document