Characteristics of Electric Vehicle Charging Sessions and its Benefits in Managing Peak Demands of a Commercial Parking Garage
2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)(2020)
摘要
In this study, we use 28,262 charging sessions data collected from over 40 plug-in electric vehicle (PEV) charging stations during a period from March 2013 to September 2016. Following metrics are calculated for each charging session: (1) arrival and departure times; (2) plug-in and charging duration; (3) number of charging sessions; and (4) charging load flexibility. We develop two options in the discretized charging control algorithm: Option A changes only the charging start time and optimally shifts the entire period when the vehicle is actively charging within the connected charging session, and Option B splits the active charging period into 15-min segments and optimally spreads them over the connected charging session. Overall, the monthly bills savings are 21.3% and 23.5% in the summer season, 11.4% and 13.7% in the winter season, and 17.9% and 20.2% over the year for the control option 1-A and 1-B, respectively. Additionally, we develop a control algorithm in which all current charging sessions are re-optimized each time a new vehicle arrives and initiates a charging session. Greater cost savings can be achieved, e.g. 25.1% reduction for the summer season.
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关键词
plug-in electric vehicle,load flexibility,dis-cretized charging control,cost savings,demand response
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