Calculation of electric vehicle charging power and evaluation of demand response potential based on spatial and temporal activity model
DOI:10.7667/PSPC180763
Key Words:electric vehicle  charging load  activity event  demand response
Author NameAffiliationE-mail
QIAN Tiantian China Electric Power Research Institute Nanjing Branch, Nanjing 210003, China  
LI Yaping China Electric Power Research Institute Nanjing Branch, Nanjing 210003, China liyaping@epri.sgcc.com.cn 
GUO Xiaorui China Electric Power Research Institute Nanjing Branch, Nanjing 210003, China  
CHEN Xingying Hohai University, Nanjing 210098, China  
LIU Jiantao China Electric Power Research Institute Nanjing Branch, Nanjing 210003, China  
MAO Wenbo China Electric Power Research Institute Nanjing Branch, Nanjing 210003, China  
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Abstract:The difference in user behavior of electric vehicles leads to different spatial and temporal distribution characteristics of electric vehicles. In order to accurately calculate the charging power and the demand response potential of electric vehicle cluster at a certain time and place, this paper proposes a method for calculating the charging power and demand response potential of electric vehicles based on space-time activity model. Firstly, the spatial and temporal distribution characteristics of electric vehicles are considered, and the travel activity model of electric vehicles is analyzed. Then based on the actual data, the distribution model of key influencing factors of electric vehicle charging is obtained. Finally, Monte Carlo and binomial distribution method are used to calculate the charging power curve of single electric vehicle and electric vehicle cluster on working days and non-working days, and the demand response potential are analyzed. The proposed algorithm can calculate the charging power of electric vehicles simply and quickly on the basis of taking into account the space-time distribution of electric vehicles. This work is supported by National Key Research and Development Program of China (No. 2016YFB0901100).
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