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文章摘要
基于区域峰谷分时电价的电动汽车有序充电研究
Research on electric vehicle orderly charging based on regional peak-valley time-of-use price
Received:April 17, 2017  Revised:April 17, 2017
DOI:
中文关键词: 差异化电价机制  电动汽车有序充电  区域峰谷分时电价  隶属度函数法  弹性系数法  
英文关键词: The differentiated electricity price mechanism  electric vehicles orderly charging  regional peak-valley time-of-use price  the method of function  the elastic coefficient method
基金项目:国家自然科学基金项目( 面上项目)
Author NameAffiliationE-mail
He Jifeng State Grid Laboratory for Hydro Power Resources Optimal AllocationDdDdSimulation Technology, State Grid Hubei Electric Power Economic and Technology Research Institute hjf168@163.com 
Chen Jiejun* School of Electrical Engineering,Wuhan University chenjiejun@whu.edu.cn 
Huang Jiaqi State Grid Laboratory for Hydro Power Resources Optimal AllocationDdDdSimulation Technology,State Grid Hubei Electric Power Economic and Technology Research Institute hjq168@163.com 
Xiong Wei State Grid Laboratory for Hydro Power Resources Optimal AllocationDdDdSimulation Technology, State Grid Hubei Electric Power Economic and Technology Research Institute xw168@163.com 
Yang Jun School of Electrical Engineering,Wuhan University jiejunwuda@163.com 
Liu Yuan School of Electrical Engineering,Wuhan University jiejunc@qq.com 
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中文摘要:
      随着电力市场的发展,差异化电价机制的出现为引导大规模电动汽车的有序充电行为提供了一种新的思路。因此,本文提出了一种能够引导电动汽车有序充电的最优区域峰谷分时电价计算模型。首先,基于城市区域用电行为的差异特性,将用电区域分为居民区、办公区、工业区、商业区等四个区域,并运用隶属度函数法研究区域分时电价峰谷时段划分方法;然后,基于弹性系数法建立电动汽车用户响应量对区域峰谷分时电价的响应关系。最后,以日峰谷差和用户充电成本最小为优化目标,建立最优区域峰谷分时电价计算模型。仿真结果表明所提出的电动汽车区域峰谷分时电价计算模型能够有效降低用户充电成本和系统日峰谷差,有效引导电动汽车进行有序充电。
英文摘要:
      With the development of electric power market, the differentiated electricity price mechanism provides a new way to guide electric vehicles (EVs) to charge orderly. Therefore, an optimal regional peak-valley time-of-use price (RPTP) calculation model for electric vehicles orderly charging is proposed in this paper. First, the electricity consumption area is divided into four regions: residential area, office area, industrial area and commercial area by the differences in electricity consumption of urban areas, and the peak-valley time-period division of RPTP is studied by the method of membership function. Subsequently, the performance of user response to the RPTP is analyzed by the elastic coefficient method. Finally, with minimizing the peak valley difference and user charging cost, a calculation model of optimal RPTP for EVs is established. The simulation results verify the effectiveness of the proposed model on reducing user charging cost and peak valley difference. Also, EVs can be coordinated to charge orderly.
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