Modeling of Load Demand Due to EV Battery Charging in Distribution Systems

被引:905
作者
Qian, Kejun [1 ]
Zhou, Chengke [1 ]
Allan, Malcolm [1 ]
Yuan, Yue [2 ]
机构
[1] Glasgow Caledonian Univ, Sch Engn & Comp, Glasgow G4 0BA, Lanark, Scotland
[2] Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Peoples R China
关键词
Battery; charging; electrical distribution system; electric vehicle (EV); load model; IMPACT; GENERATION;
D O I
10.1109/TPWRS.2010.2057456
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a methodology for modeling and analyzing the load demand in a distribution system due to electric vehicle (EV) battery charging. Following a brief introduction to the common types of EV batteries and their charging characteristics, an analytical solution for predicting the EV charging load is developed. The method is stochastically formulated so as to account for the stochastic nature of the start time of individual battery charging and the initial battery state-of-charge. A comparative study is carried out by simulating four EV charging scenarios, i.e., uncontrolled domestic charging, uncontrolled off-peak domestic charging, "smart" domestic charging and uncontrolled public charging-commuters capable of recharging at the workplace. The proposed four EVs charging scenarios take into account the expected future changes to the electricity tariffs in the electricity market place and appropriate regulation of EVs battery charging loads. A typical U.K. distribution system is adopted as an example. The time-series data of EV charging loads is taken from two commercially available EV batteries: lead-acid and lithium-ion. Results show that a 10% market penetration of EVs in the studied system would result in an increase in daily peak demand by up to 17.9%, while a 20% level of EV penetration would lead to a 35.8% increase in peak load, for the scenario of uncontrolled domestic charging-the "worst-case" scenario.
引用
收藏
页码:802 / 810
页数:9
相关论文
共 17 条
[1]  
[Anonymous], 2000, PERFORMANCE CHARACTE
[2]  
[Anonymous], TRANSP STAT B NAT TR
[3]  
Choi JY, 1998, IEEE T POWER SYST, V13, P1226, DOI 10.1109/59.736234
[4]  
Department for Environment Food and Rural Affairs, 2008, LOC AUTH CO2 EM EST
[5]   Impact of EV battery chargers on the power quality of distribution systems [J].
Gómez, JC ;
Morcos, MM .
IEEE TRANSACTIONS ON POWER DELIVERY, 2003, 18 (03) :975-981
[6]  
IET Transport Desk, 2009, UK GRID CAP SUFF EL
[7]  
Lambert F., 2000, SECONDARY DISTRIBUTI
[8]  
Linden D., 2001, Handbook of Batteries
[9]  
Madrid Christopher., 1999, PERFORMANCE CHARACTE
[10]  
National Statistics Department for Transport, 2009, TRANSP STAT B VEH LI