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电动汽车参与运行备用的能力评估及其仿真分析
引用本文:吴巨爱,薛禹胜,谢东亮,岳东,文福拴,赵俊华.电动汽车参与运行备用的能力评估及其仿真分析[J].电力系统自动化,2018,42(13):101-107.
作者姓名:吴巨爱  薛禹胜  谢东亮  岳东  文福拴  赵俊华
作者单位:南京理工大学自动化学院;南瑞集团(国网电力科学研究院)有限公司;南京邮电大学先进技术研究院;浙江大学电气工程学院;香港中文大学(深圳)理工学院
基金项目:国家自然科学基金重点资助项目(61533010);国家自然科学基金资助项目(51407039);国家电网公司总部科技项目“电力系统与相关外部信息交互影响的分析和应用功能设计”
摘    要:电动汽车(EV)作为未来电力系统一种潜在且容量可观的运行备用资源,其调控必须以满足用户出行与充(放)电意愿为前提,因此对电动汽车备用能力的评估需置于合理的、计及用户响应意愿的市场机制下来考察。首先设计出兼顾系统调控需求与用户出行需求的充(放)电合约机制,提出了EV短时备用能力计算方法和响应电价变化的有序充/放电策略。基于上述模型或方法,实例分析了典型EV单体及集群在不同充电策略下,向电网提供多种可调控备用容/电量产品的能力。同时进一步分析了备用容量价格、备用市场设计等因素对EV可申报备用容量的影响。

关 键 词:电动汽车  用户行为  运行备用  需求侧响应
收稿时间:2018/1/30 0:00:00
修稿时间:2018/5/17 0:00:00

Evaluation and Simulation Analysis of Reserve Capability for Electric Vehicles
WU Juai,XUE Yusheng,XIE Dongliang,YUE Dong,WEN Fushuan and ZHAO Junhua.Evaluation and Simulation Analysis of Reserve Capability for Electric Vehicles[J].Automation of Electric Power Systems,2018,42(13):101-107.
Authors:WU Juai  XUE Yusheng  XIE Dongliang  YUE Dong  WEN Fushuan and ZHAO Junhua
Affiliation:School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China,Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China and School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518100, China
Abstract:As one of potential operating reserve measures with comparative capacity in future power systems, the operation of electric vehicles(EVs)should follow their users'' willingness in travel and charge. Therefore, it is only reasonable to analyze the capability of EV as a reserve measure under a suitable market mechanism in which users'' willingness is respected. A charging/discharging contract principle is designed to balance the needs between the system operator and the users. An algorithm to calculate the short-term reserve capability of EV, as well as a sorted charging/discharging strategy to respond the variation of electricity price, is proposed. Based on these models or methods, case studies are done aiming to give the primary assessment on capability to supply reserve capacity/energy instantly but with short duration from a typical individual EV or EV clusters under different charging/discharging strategies. Furthermore, parameter influences e. g. the price and design features of a reserve market on the reserve capability of EV are also analyzed.
Keywords:electric vehicle(EV)  user''s behavior  operating reserve  demand side response
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