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基于智能电网的电动汽车充放电分时电价及引导策略
引用本文:蒋俊峰,谭伦农,纪棋彬. 基于智能电网的电动汽车充放电分时电价及引导策略[J]. 能源研究与信息, 2021, 37(2): 85-92
作者姓名:蒋俊峰  谭伦农  纪棋彬
作者单位:江苏大学 电气信息工程学院,镇江 212013
摘    要:为了以绿色、环保能源满足全球可持续发展的需求,可再生能源和电动汽车在全球范围内受到广泛推崇.在此情形下,高比例可再生能源发电和大规模电动汽车无序分散接入电网必将导致供求曲线的不稳定.为此,借助云存储技术和智能电网,提出了一种基于供求曲线的电动汽车充放电分时电价,并在制定充放电价格时考虑充电站的空闲率.以实现充电站和用户...

关 键 词:分时电价  供求曲线  空闲率  粒子群算法
收稿时间:2019-08-30

Research on time-of-use electricity price of electric vehicle charging and discharging and the guidance strategy based on smart grid
JIANG Junfeng,TAN Lunnong,JI Qibin. Research on time-of-use electricity price of electric vehicle charging and discharging and the guidance strategy based on smart grid[J]. Energy Research and Information, 2021, 37(2): 85-92
Authors:JIANG Junfeng  TAN Lunnong  JI Qibin
Affiliation:School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Abstract:In order to meet the demands of global sustainable development with environment-friendly and green energy, renewable energy and electric vehicles have popularized worldwide. In this case, high proportion of renewable energy generation as well as the large-scale separated connection of electric vehicles to the grid will inevitably lead to the instability of the supply and demand curve. Therefore, time-of-use electricity price of electric vehicle charging and discharging according to supply and demand curve was proposed via smart grid and cloud storage. Additionally, the charging and discharging price was determined with the considerations of the idleness rate of the charging stations. In this paper, the charging and discharging price model of electric vehicles is established to realize the maximum benefits of both charging stations and users. Particle swarm optimization (PSO) was used to solve this model. The validity and rationality of the model are verified by an algorithm case.
Keywords:time-of-use electricity price  supply and demand curve  idleness rate  particle swarm optimization
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