电力系统自动化2016，Vol.40Issue(9)：64-70,99,8.DOI:10.7500/AEPS20150708010
基于移动社交网络平台的电动汽车充放电行为预测
Charging and Discharging Behavior Prediction of Electric Vehicles Based on Mobile Social Network Platform
摘要
Abstract
Uncontrolled charging and discharging process for a large number of electric vehicles (EVs) could have significant negative impacts on the secure and economic operation of a power system concerned.On the other hand,the vehicle-to-grid (V2G) technology can support the EVs to participate in ancillary service provision,but the effects on the behavior of the interactive power systems for a different scheduling policy are different.Users can make decisions assisted by mobile social networking to select the scheduling strategy with beneficial effects.Based on the mobile social network analysis,a charging and discharging behavior prediction method of EVs with time-of-use(TOU)constraints is studied,which views per EV as a single individual in a social network.Subj ected to the overall influence,its spatial and temporal characteristics are similar to the cross in the elementary particle group.Combined with the influence factor of mobile social networks,a predictive model of EVs charging and discharging behavior with constrains of safe operation for power system and the best interests for EVs users is established.Simulation results show that the method is valid.关键词
V2G/电动汽车/移动社交网络/分时电价/行为预测Key words
vehicle-to-grid(V2G)/electric vehicle(EV)/mobile social network/time-of-use(TOU)/behavior prediction引用本文复制引用
李刚,董耀众,文福拴,宋雨..基于移动社交网络平台的电动汽车充放电行为预测[J].电力系统自动化,2016,40(9):64-70,99,8.基金项目
国家自然科学基金资助项目(51407076) （51407076）
河北省自然科学基金资助项目(F2014502050) （F2014502050）
中央高校基本科研业务费专项资金资助项目(2015ZD28)。This work is supported by National Natural Science Foundation of China(No.51407076),Natural Science Foundation of Hebei Province(No.F2014502050),and the Fundamental Research Funds for the Central Universities(No.2015ZD28) （2015ZD28）
