电力系统自动化2018，Vol.42Issue(11)：56-63,8.DOI:10.7500/AEPS20170906003
容量受限下电动汽车充电策略优化及应急备用能力分析
Charging Optimization Strategy and Capability Analysis as Reserve Measures for Electric Vehicles Under Limited-capacity Area
摘要
Abstract
The comprehensiveness,rapidness and economy of charging service is one of main factors that influences the popularity of electric vehicles,and the construction and management of charging facilities in a residential area play a key role. Because of the limited capacity and other reasons,the development of charging facilities in the residential area falls behind the other forms of charging energy.Based on the practical charging conditions of a typical residential area,the influence of possible technical/market measures on the battery electric vehicle (BEV) charging process is discussed according to the detailed simulation of charging process for BEVs and its effect and value are quantitatively analyzed.On the basis of defining BEV charging contract model,the analysis mentioned above is put forward to propose an optimization method according to the charging strategy based on the optimal value network and the algorithm is verified to be effective by the examples.The simulation results indicate that on the condition of limited capacity,compared to the existing disordered charging mode,the ordered charging/discharging mode under the centralized management can obviously increase the capacity of charging service in the typical residential area by improving the efficiency inside.Moreover,the interactive capacity of emergency backup for the grid by BEV is improved and the revenue channels and comprehensive benefits increase as well.关键词
电动汽车/微网(微电网)/微网调度/分布式储能/价值网络/电力市场/备用服务Key words
electric vehicle/microgrid/microgrid dispatch/distributed storage/value network/power market/reserve service引用本文复制引用
谢东亮,张宇琼,吴巨爱,刘长磊,吴俊..容量受限下电动汽车充电策略优化及应急备用能力分析[J].电力系统自动化,2018,42(11):56-63,8.基金项目
国家自然科学基金资助项目(51407039).本文在完成过程中,受到神华集团科技项目"多能互补新能源电站调控关键技术研究"资助,在此表示感谢!This work is supported by National Natural Science Foundation of China(No.51407039). （51407039）
