基于双重激励机制的电动汽车备用服务策略  

Reserve Service Strategy of Electric Vehicles Based on Double-incentive Mechanism

作　　者：王俊杰[1] 贾雨龙 米增强[1] 陈海瑞 范辉 WANG Junjie;JIA Yulong;MI Zengqiang;CHEN Hairui;FAN Hui(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Baoding 071003,China;State Grid Hebei Electric Power Supply Co.,Ltd.,Shijiazhuang 050000,China)

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),河北省保定市071003 [2]国网河北省电力有限公司,河北省石家庄市050000

出　　处：《电力系统自动化》2020年第10期68-76,共9页Automation of Electric Power Systems

基　　金：国家重点研发计划资助项目(2018YFE0122200);国家电网公司科技项目(KJGW2018-014);中央高校基本科研业务费专项资金资助项目(2018QN075)。

摘　　要：为了提高电动汽车(EV)的备用服务能力,提出一种基于双重激励机制(DIM)的EV充/放电日前调度策略。在考虑EV放电模式的前提下,设计面向用户的双重激励机制和市场互动模式,提出半托管式的用户响应方式,并对该方式下用户响应状态的不确定性进行建模分析,采用随机规划方法建立响应双重激励的EV充/放电调度模型。基于上述模型,算例对比分析放电激励加入前后EV集群的备用服务能力。同时,通过对调控参数的灵敏度分析,研究充、放电激励价格和调度时间尺度等因素对EV集群备用服务能力的影响。To improve the reserve service capability of electric vehicle(EV),this paper proposes a charging/discharging day-ahead scheduling strategy of EV based on the double-incentive mechanism.Firstly,a user-oriented double-incentive mechanism and market interaction mode considering the discharging mode of EV are designed.Then,a semi-managed user response mode is proposed.In this mode,the uncertainty of user response state is modeled and analyzed.A charging/discharging dispatching model of EV for responding the double-incentive is constructed by stochastic programming method.Based on the above models,the case study compares the reserve service capacities of EV with and without discharging incentive.Furthermore,the impact of some factors,such as charging and discharging incentive prices and dispatching time scale,on the reserve capacity of EV is analyzed through the sensitivity analysis of dispatching parameters.

关 键 词：电动汽车 备用服务 双重激励机制 用户响应不确定性 随机规划 

分 类 号：U469.72[机械工程—车辆工程]