文章摘要
谢东亮,张宇琼,吴巨爱,等.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. DOI: 10.7500/AEPS20170906003.
XIE Dongliang,ZHANG Yuqiong,WU Juai, et al.Charging Optimization Strategy and Capability Analysis as Reserve Measures for Electric Vehicles Under Limited-capacity Area[J].Automation of Electric Power Systems,2018,42(11):56-63. 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
DOI:10.7500/AEPS20170906003
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
KeyWords: electric vehicle  microgrid  microgrid dispatch  distributed storage  value network  power market  reserve service
上网日期:2018-03-13
基金项目:国家自然科学基金资助项目(51407039)
作者单位E-mail
谢东亮 南瑞集团(国网电力科学研究院)有限公司, 江苏省南京市211106 xiedongliang@sgepri.sgcc.com.cn 
张宇琼 国华能源投资有限公司, 北京市 100007  
吴巨爱 南瑞集团(国网电力科学研究院)有限公司, 江苏省南京市211106
南京理工大学自动化学院, 江苏省南京市 210094 
 
刘长磊 国华能源投资有限公司, 北京市 100007  
吴俊 南瑞集团(国网电力科学研究院)有限公司, 江苏省南京市211106
南京理工大学自动化学院, 江苏省南京市 210094 
 
摘要:
      出行目的地充电覆盖的全面性、服务的及时快捷性及经济性是影响家庭乘用车电动化进程的要素之一,而居民区的充电设施建设和运营是其中的关键一环。因配电网容量限制等原因,居民区充电设施的发展落后于其他充电形式。有必要从居民区实际配用电条件出发,在精细化仿真纯电动汽车(BEV)充电过程基础上,讨论潜在的技术、市场手段对BEV充电过程的影响,并量化分析其作用和价值。在定义BEV充电合约模型基础上,开展了上述分析,给出基于最优价值网络的充/放电策略的优化求解方法,并通过算例验证了算法的有效性。仿真结果表明,在容量受限的条件下,相对于现有BEV的无序充电,集中管理的有序充/放电通过内部提效,能够显著扩大典型居民区内的充电服务容量,并提高BEV作为应急备用的并网容量互动能力,增加充电运营商的营收途径和综合效益。
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.
查看全文(Free!)   查看附录   查看/发表评论  下载PDF阅读器