Title :
Plug-in electric vehicles charging with different electricity pricing strategies
Author :
Yang Bing ; Zou Jianxiao ; Li Liying
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Implementation of adjustable charging strategies has great potential to decrease the peak loads and is good for the grid scheduling. The electric vehicle users have the freedom to choose the charging time as well as different charging modes. In this paper, we propose a real-time electricity pricing scheme that leads to more economical and environmental profits comparing with the fixed-pricing and time-of-use pricing strategies. The users can minimize their total costs by adjusting the charging time and modes to meet their needs. Simulation results demonstrate that the real-time electricity pricing scheme can lead to significant reduction of the charging cost and provide an incentive mechanism for electric vehicle users to manage their energy consumption.
Keywords :
battery powered vehicles; cost reduction; power grids; power system economics; pricing; charging cost reduction; charging mode; charging time; electric vehicle users; electricity pricing strategy; energy consumption management; environmental profits; fixed-pricing strategy; grid scheduling; incentive mechanism; peak loads; plug-in electric vehicle charging; real-time electricity pricing scheme; time-of-use pricing strategy; total cost minimization; Batteries; Electricity; Power grids; Pricing; Real-time systems; Timing; Vehicles; Charging model; plug-in electric vehicle; real-time pricing;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896368