车网协同的有序充电动态模糊控制方法  

Dynamic Fuzzy Control Method of Orderly Charging Based on Vehicle Grid Cooperation

作　　者：熊焰[1,2] 李强泽 方家琨 冯程[2] 徐海波 XIONG Yan;LI Qiangze;FANG Jiakun;FENG Cheng;XU Haibo(Huazhong University of Science and Technology,Wuhan 430074,China;EAST Group Co.,Ltd.,Dongguan 523808,China)

机构地区：[1]华中科技大学,湖北武汉430074 [2]易事特集团股份有限公司,广东东莞523808

出　　处：《电器与能效管理技术》2021年第5期48-54,共7页Electrical & Energy Management Technology

基　　金：广东省重点领域研发计划项目(2019B090911001);东莞市引进创新科研团队计划资助项目(201536000200036)。

摘　　要：提出了一种预约机制下电动汽车车网协同有序充电管理模糊控制模型。首先对电动汽车的用户行为构建出行链模型,利用概率转移矩阵,模拟了电动汽车出行不同目的地间转换的马尔可夫过程;其次,针对配电网日前负荷预测曲线和电动汽车预约情况,根据配电网负荷裕度和电动汽车充电需求进行协同管理,通过制定有序充电的模糊规则表,对电动汽车的充电功率进行动态计算。最后,通过仿真算例对本文所提的模型和算法进行验证,结果表明通过所提车网协同的有序充电管理,能够减小配电网功率的峰谷差,同时减轻充电功率的波动并降低充电成本,协同效果显著。A fuzzy control model for coordinated and orderly charging management of electric vehicle network under reservation mechanism is proposed.Firstly,the travel chain model of electric vehicle user behavior is constructed,and the Markov process of electric vehicle travel between different destinations is simulated by probability transfer matrix.Secondly,according to the distribution network load forecasting curve and electric vehicle reservation situation,collaborative management is carried out according to the distribution network load margin and electric vehicle charging demand.The charging power of electric vehicle is calculated dynamically.Finally,a simulation example is given to verify the proposed model and algorithm.The results show that the orderly charging management of vehicle network cooperation in this paper can reduce the peak valley difference of distribution network power,reduce the fluctuation of charging power and reduce the charging cost,and the synergistic effect is remarkable.

关 键 词：电动汽车车网协同 有序充电管理 出行链 模糊控制 峰谷差 

分 类 号：TM73[电气工程—电力系统及自动化]