首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于权重的居住区配电网下动态功率分配策略
引用本文:王毅,麻秀,侯兴哲,孙洪亮,朱斌,刘国平,郑可.基于权重的居住区配电网下动态功率分配策略[J].科学技术与工程,2019,19(1).
作者姓名:王毅  麻秀  侯兴哲  孙洪亮  朱斌  刘国平  郑可
作者单位:重庆邮电大学通信与信息工程学院;国网重庆市电力公司电力科学研究院;国网重庆市电力公司博士后科研工作站
摘    要:大规模电动汽车的随机接入将导致小区配电网超出安全限制容量。如何利用可用的电力资源为电动汽车进行功率公平分配,降低电网运行风险是一个重要问题。为此提出了一种基于权重的居住区配电网下的电动汽车动态功率分配策略。基于电动汽车各项申报信息和小区电网状态,将电动汽车的已充电时长、停留时长及荷电状态作为评价指标,利用熵权法确定电动汽车充电权重;并结合加权最大最小公平分配算法,根据充电权重对小区随时变化的可用负荷进行公平分配。通过蒙特卡洛模拟的MATLAB仿真验证策略的有效性。仿真结果表明策略能依据小区实时负荷曲线,最大化利用可用电能去动态适应快速变化的充电需求,有效提升了电网和用户满意度。

关 键 词:电动汽车  动态功率分配  居民区  充电权重  蒙特卡洛模拟
收稿时间:2018/1/4 0:00:00
修稿时间:2018/4/19 0:00:00

A Dynamic power allocation strategy based on weight of distribution network in residential quarter
wang yi,and.A Dynamic power allocation strategy based on weight of distribution network in residential quarter[J].Science Technology and Engineering,2019,19(1).
Authors:wang yi  and
Institution:Chong Qing University of Posts and Telecommunications,Chong Qing University of Posts and Telecommunications,Chong Qing Electric Power Research Institute,Chong Qing Electric Power Research Institute,Chong Qing Electric Power Research Institute,Chong Qing Electric Power Research Institute,Chong Qing Electric Power Research Institute
Abstract:The random access behavior of large scale electric vehicles will exceed the safe limits of the residential distribution network. Therefore, it is of great significance to study how to make use of the available power to allocate equitably to electric vehicles and reduce the risk of power grid operation. A dynamic power allocation strategy for electric vehicles based on weight of residential distribution network was proposed in this paper. Based on the information of electric vehicle and district power grid, the charging time, duration time and battery state of electric vehicle was took as evaluation indexes , entropy weight method was adopted to obtain the charging weight of electric vehicle. And with weighing Max-Min fair allocation algorithm, the variable load of the cell was allocated equitably to each electric vehicle. The effectiveness of this strategy is verified by MATLAB with Monte Carlo simulation. Simulation results show that the strategy can be based on cell real-time load, maximize the use of available electricity to adapt to the fast changing charging demand dynamically, and effectively improve grid and user satisfaction.
Keywords:electric vehicle  Dynamic power allocation  residential area  Charging weight  Monte Carlo simulation
本文献已被 CNKI 等数据库收录!
点击此处可从《科学技术与工程》浏览原始摘要信息
点击此处可从《科学技术与工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号