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电动汽车与风电协同入网的双层优化策略
引用本文:黄景光,郑钦杰,林湘宁,黄静梅,李江峡,张宇鹏.电动汽车与风电协同入网的双层优化策略[J].可再生能源,2021,39(4):514-520.
作者姓名:黄景光  郑钦杰  林湘宁  黄静梅  李江峡  张宇鹏
作者单位:三峡大学 电气与新能源学院,湖北 宜昌 443002;华中科技大学 电气与电子工程学院,湖北 武汉430074
基金项目:国家自然科学基金项目(51537003)。
摘    要:文章提出了一种电动汽车(EV)与风电协同入网的双层优化模型.该模型上层以电动汽车与风电协同入网时负荷方差与充电站运营商购电成本最小为目标,得到电动汽车与风电联合的负荷指导曲线.模型下层以电动汽车和风电实际等效负荷与负荷指导曲线偏差最小为目标,进行实时负荷跟随.为保证电动汽车进行有序的充放电,提出了用户综合评价系数和放电...

关 键 词:EV  风电  双层优化  削峰填谷

A bi-layer optimal strategy of electric vehicle and wind power collaborative access to the grid
Huang Jingguang,Zheng Qinjie,Lin Xiangning,Huang Jingmei,Li Jiangxia,Zhang Yupeng.A bi-layer optimal strategy of electric vehicle and wind power collaborative access to the grid[J].Renewable Energy,2021,39(4):514-520.
Authors:Huang Jingguang  Zheng Qinjie  Lin Xiangning  Huang Jingmei  Li Jiangxia  Zhang Yupeng
Affiliation:(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
Abstract:This paper proposes a bi-layer optimization model of coordinated grid access of electric vehicles and wind power.The upper model aims to minimize the variance of load and the charging cost of electric vehicle when the electric vehicle and wind power access the grid,and obtains the combined load guidance curve of electric vehicle and wind power.The lower level model aims to minimize the deviation between the actual equivalent load and the load guidance curve of electric vehicle and wind power,and carries out real-time load following.In order to ensure the orderly charging and discharging of electric vehicles,this paper also puts forward the parameters of electric vehicles,including the comprehensive evaluation coefficient of users and the discharge influence factor,etc.,to divide the queues and prioritize the charging and discharging of electric vehicles.The simulation results show that the coordinated optimal scheduling of electric vehicles and wind power can not only reduce the impact of wind power prediction error,promote wind power consumption,but also increase the revenue of charging station operators,and achieve the purpose of cutting peak and filling valley.
Keywords:electric vehicle  wind power  bi-layer optimization  peak shaving and valley filling
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