电工技术学报  2017, Vol. 32 Issue (5): 176-183    DOI:
电力系统及其自动化 |
低碳经济下电动汽车集群与电力系统间的协调优化运行
娄素华,张立静,吴耀武,王永灿
强电磁工程与新技术国家重点实验室(华中科技大学) 武汉 430074
Coordination Operation of Electric Vehicles and Power System under Low-Carbon Economy
Lou Suhua,Zhang Lijing,Wu Yaowu,Wang Yongcan
State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China
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摘要 

随着电动汽车(EVs)大规模接入电网,其充放电行为的随机性将给电力调度带来新的问题。在研究电动汽车与电网间信息、能量交互机制的基础上,深入分析EV集群运行模式及其对电力系统发电调度的影响。基于低碳经济理念,以电力系统发电能耗成本、CO2排放费用和V2G服务补贴费用最小化为目标函数,综合考虑EV行驶需求、碳排放配额、碳排放交易机制等相关约束,建立低碳经济环境下EV集群与电力系统间的协调优化运行模型。采用所建模型对10机系统进行仿真分析,优化结果验证了模型的合理性和有效性。

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关键词 低碳经济电动汽车电动汽车集群运行模式协调运行    
Abstract

With large scale of electric vehicles (EVs) connected to the power system, the stochastic of EVs charging/discharging process has great influence on power system scheduling. In this paper, after describing the interactive mechanism of EVs and power grid, the cluster operation modes of EVs are proposed so as to analyze their effects on generation scheduling. On low-carbon economy basis, a coordination operation model of EVs and the system, with the objective of minimizing the generation cost, CO2 emission cost and subsidies for V2G service is developed. The new model takes the relevant constraints of EVs driving demand, carbon emission allowance, and carbon trading mechanism into account. The reasonability and validity of the proposed model is proved by case studies based on a ten-unit test system.

Key wordsLow-carbon economy    electric vehicle    EVs cluster operation mode    coordination operation   
收稿日期: 2016-01-16      出版日期: 2017-03-22
PACS: TM732  
基金资助:

国家自然科学基金项目(51677076)和国家重点研发计划项目(2016YFB0900102)资助。

通讯作者: 娄素华 女,1974年生,博士,副教授,研究方向为电力系统规划与优化运行、新能源发电和电力技术经济等。E-mail:shlou@mail.hust.edu.cn   
作者简介: 张立静 女,1989年生,硕士研究生,研究方向为电力系统规划与优化运行、电动汽车入网、低碳电力。E-mail:lijingzhang1874@163.com
引用本文:   
娄素华,张立静,吴耀武,王永灿. 低碳经济下电动汽车集群与电力系统间的协调优化运行[J]. 电工技术学报, 2017, 32(5): 176-183. Lou Suhua,Zhang Lijing,Wu Yaowu,Wang Yongcan. Coordination Operation of Electric Vehicles and Power System under Low-Carbon Economy. Transactions of China Electrotechnical Society, 2017, 32(5): 176-183.
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https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I5/176