电力建设2018，Vol.39Issue(6)：28-41,14.DOI:10.3969/j.issn.1000-7229.2018.06.005
基于大数据服务平台的电动汽车有序充放电管理
Coordinated Charging and Discharging Management of Electric Vehicles Based on a Multi-function Big Data Service Platform
摘要
Abstract
The coordinated charging and discharging management of electric vehicles (EVs) plays a significant role in improving load profiles and mitigating power fluctuation from renewable energy power generation.However,there are still some problems to be solved in the demand side,such as difficulty in enforcing dispatching tasks,inconvenience in charging and discharging,occasional interruptions of information interactions.Given this background,coordinated charging and discharging strategies are proposed separately for the two levels,i.e.,"the power distribution system (PDS) to EVs" and "the power transmission system (PTS) to PDS".Firstly,a flexible management mechanism for "PDS to EVs" level is proposed considering numerous decentralized EVs and hence heavy computational burden.To this end,a multi-function big data service platform (MDSP) is developed for analyzing the performance of charging and discharging of EVs,with respect to time-of-use (TOU) pricing and short-term charging and discharging agreement (SCDA).On the basis of the predicted EV charging and discharging power from the "PDS to EVs" level,a bi-layer two-stage chance-constrained programming model is then proposed for the "PTS to PDS" level,in which the optimal subjects of upper layer and down layer are the independent system operator (ISO) in the transmission system and VPPs,separately,including day-ahead and real-time dispatching.Finally,a sample power system with 87 buses,including both PTS and PDS,is attained by expanding the IEEE 30-bus power system,and then served to demonstrate the features of the proposed method.关键词
电动汽车(EV)/有序充放电管理/多功能大数据服务平台(MDSP)/虚拟电厂(VPP)/需求侧响应/短期EV充放电协议(SCDA)/双层分阶段机会约束规划分类
信息技术与安全科学引用本文复制引用
杨文涛,王蕾,邹波,张西竹,文福拴,程敏..基于大数据服务平台的电动汽车有序充放电管理[J].电力建设,2018,39(6):28-41,14.基金项目
国家自然科学基金项目(51477151) （51477151）
国家电网公司总部科技项目(5211JY180006)This work is supported by National Natural Science Foundation of China (No.51477151) and a Science and Technology Project of State Grid Corporation of China (No.5211JY180006). （5211JY180006）
