Probability Model and Simulation Method of Electric Vehicle Charging Load on Distribution Network

AbstractThis article studies the charging characteristics of different kinds of electric vehicles and, in particular, improves the sampling method of initial state-of-charge for hybrid electric vehicles. With consideration of the influences that the charging time may exert on a customer choice of charging start time, and introducing the quantity of simultaneously charging electric vehicles, a probability model of a hybrid electric vehicle charging load is built. Then an improved probability simulation method of charging demand is proposed for multiple kinds of electric vehicles connected with a distribution grid. Finally, the impact of charging electric vehicles is analyzed based on an IEEE 34-node test feeder.Keywords: pure electric vehicledistribution networkhierarchical classificationhybrid electric vehiclestate-of-chargecharging loadMonte Carlo simulationprobability modelquick chargingbattery swap Additional informationNotes on contributorsNiancheng ZhouNiancheng Zhou received his B.S., M.S., and Ph.D. from Chongqing University, Chongqing, China, in 1991, 1994, and 1997, respectively. He worked at Chongqing Kuayue Technology Co, Ltd., from 1997 to 2003. He was a lecturer at the College of Electrical Engineering, Chongqing University, China, from 2003 to 2005 and has been an associate professor since 2006. Currently, he is a research fellow of Nanyang Technological University, Singapore. His research interests include operation of power system, microgrids, and power quality.Xicong XiongXicong Xiong received her B.S. from Chongqing University, Chongqing, China, in 2011. She is currently pursuing her M.S. at Chongqing University, Chongqing, China. Her research interests include operation of power system and power quality.Qianggang WangQianggang Wang received his B.S. from Chongqing University, Chongqing, China, in 2009. He is currently pursuing his Ph.D. at Chongqing University, Chongqing, China. His research interests include operation of power system and microgrids.