Title :
Power System Reliability Assessment With Electric Vehicle Integration Using Battery Exchange Mode
Author :
Lin Cheng ; Yao Chang ; Jin Lin ; Singh, Chaman
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
The demand for reducing fossil fuel consumption and carbon emissions has stimulated the development and deployment of electric vehicles (EVs). The reliability of power systems will be significantly influenced by the increasing penetration of EVs. Currently, there are mainly two potential modes for EVs charging: 1) plug-in mode and 2) battery exchange (BE) mode. There have been many papers studying the impact of EVs using plug-in mode. However, research on BE mode is still only limited. This paper aims at estimating the reliability impact caused by EVs using BE mode. First, the behavior of EV users under BE mode are extracted from two reliable databases. The behavior extraction method is developed specifically for BE mode, which is modified based on a method originally designed for plug-in mode. Afterwards, power system reliability is studied from the viewpoint of both the power system and the EV users by introducing a new reliability index named User Demand Not Satisfied (UDNS). The algorithm for reliability assessment is developed based on an algorithm designed for energy storage system (ESS) integration. The numerical results demonstrate the integration of EVs using BE mode can greatly benefit the reliability performances of power systems.
Keywords :
battery powered vehicles; energy storage; numerical analysis; power system reliability; BE mode; ESS integration; EV users; UDNS; battery exchange mode; behavior extraction method; carbon emissions; electric vehicle integration; energy storage system integration; fossil fuel consumption reduction; plug-in mode; power system reliability assessment; reliability index; user demand not satisfied; Consumer behavior; Electric vehicles; Power system reliability; Battery exchange (BE) mode; electric vehicle (EV); power system reliability; user behavior;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2013.2265703