The user data of electric vehicle(EV)is the key data to optimize the EV charging cost.Manipulation with the user data may lead to incorrect charging costs and cause economic losses to the charging pile operator.For EV charging pile,a cyber attack model based on user data is proposed.This model generates a incorrect charging plan by tampering with the user data connected to EV charging pile,thus increasing the charging cost.The proposed attack model is a two-stage optimi-zation model based on mixed integer linear programming,which generates malicious user data injected into EV charging piles on the upper level and EV charging plan optimization algorithm on the lower level.By applying KKT conditions,the two-stage optimization model is transformed into a single-level optimization attack model.The simulation takes a virtual charging station scenario as an example.Compared with the non attack scenario,the attack model increases the total charging cost of the charging station by increasing the charging energy of the EV or the charging period of the mobile EV,which verifies the feasibility and harmfulness of the attack model.
关键词
电动汽车/充电桩/网络攻击/用户数据/两层优化模型
Key words
electric vehicle/charging pile/cyber attack/user data/two-stage optimization
维普
万方数据