基于分时充放电裕度的电动汽车有序充放电引导策略  

Sequential Charge-discharge Guidance Strategy for Electric Vehicles Based on Time-sharing Charging-discharging Margin

作　　者：王毅[1,2,3] 麻秀 万毅 侯兴哲 郑可 陈文礼 WANG Yi;MA Xiu;WAN Yi;HOU Xingzhe;ZHENG Ke;CHEN Wenli(School of Communication and information Engineering,Chongqing University of Posts and Telecommunications,Nan’an District,Chongqing 400065,China;Chongqing Electric Power Research Institute,Yubei District,Chongqing 401123,China;Postdoctoral Workstation of the Chongqing Electric Power Corporation,Yubei District,Chongqing 401123,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆市南岸区400065 [2]国网重庆市电力公司电力科学研究院,重庆市渝北区401123 [3]国网重庆市电力公司博士后科研工作站,重庆市渝北区401123

出　　处：《电网技术》2019年第12期4353-4361,共9页Power System Technology

基　　金：中国博士后科学基金资助项目(2015T80961);重庆市自然科学基金项目(cstc2016jcyjA0214);国家科技支撑计划项目(山地城市电动汽车分时租赁模式及支撑技术研究与示范应用，2015BAG10B00)~~

摘　　要：针对集中式控制复杂度高、成本高、对通信系统依赖性高的问题,提出了一种分布式的电动汽车有序充放电管理策略,无需集中式通信系统实时监测与控制,由充电桩自主决策有序充放电计划。该方法根据日前预测的负荷信息,在决策生成器中建立最小化充电成本与总负荷方差、最大化日负荷利益率的目标函数,寻优得到次日电动汽车充电负荷在时间上的最佳分布,进而生成次日各时段的充放电裕度概率表,并下发至充电桩。在当日控制时刻开始后,充电桩根据接入的电动汽车的电池状态、用户需求信息和概率分布表,自主生成充放电计划并向用户展示,由用户自主响应策略流程。通过仿真验证了该策略能引导电动汽车充分发挥"削峰填谷"的作用,兼顾电网与用户双方的利益,适用于对大规模电动汽车的分布式管理。Aiming at the problems of high complexity, high cost and high dependence on communication system for centralized control, a distributed orderly charging-discharging management strategy for electric vehicles is put forward. In this strategy, independent decision is made by charging piles without real-time monitor and control from centralized communication network. The time distribution of next day’s electric vehicle charging load is optimized through predicted load information. Then a probability table of charging-discharging margin in each period of next day is generated and sent to charging piles. When daytime online control begins, the charging pile generates a charging-discharging plan independently according to battery status, user demand information and the probability distribution table of electric vehicle, and displays it to the user. The user can decide for himself whether to respond to the strategy. Results indicate that this method can guide EVs to realize peak load shifting and take account of the interests for both power grid and users. It is suitable for decentralized management of large-scale EVs.

关 键 词：分布式管理 裕度概率分布 负荷优化 充电桩 

分 类 号：TM721[电气工程—电力系统及自动化]