电力需求侧管理2024，Vol.26Issue(4)：61-67,7.DOI:10.3969/j.issn.1009-1831.2024.04.010
考虑电动汽车储能特性的充电聚合管控策略研究
Research on charging aggregation management strategies considering energy storage characteristics of electric vehicles
摘要
Abstract
The new power system consists of four major elements such as source,network,load and storage.The distributed"energy stor-age"characteristics of electric vehicles can complement new energy generation,alleviate the impact of intermittent and fluctuation of new energy output on the power grid,and effectively reduce the capacity of storage allocation in the power grid.However,the disorderly charg-ing behavior of EVs can aggravate the difference between new energy output and load,so it is necessary to control the charging of EVs in an aggregated manner.Firstly,the disordered charging behavior of different types of electric vehicles is simulated using the Monte Carlo method,and the impact of disordered charging on the balance between source and load is analyzed.Secondly,the improved k-means++clustering algorithm is used to divide the result of disorderly charging and the difference of new energy into four clustering periods,name-ly,"sharp,peak,flat and valley".Finally,an optimization strategy for charging aggregation control during overlapping clustering periods is proposed,which is verified in combination with the"Lingfeng Zero-Carbon Evolution Park"project in Ningbo,Zhejiang Province,and the results show that,under the premise of impairing the charging satisfaction of EV owners as less as possible,this strategy can effectively re-duce the imbalance between new energy output and load,and combined with fixed-energy storage configurations,it can achieve a new type of electric power and load imbalance.Combined with the fixed energy storage configuration,it enables source-load balancing in new power systems.关键词
新型电力系统/电动汽车/储能特性/k-means++/聚合管控/充电满意度Key words
new type power systems/electric vehicle/energy storage characteristics/k-means++/aggregation control/charging satisfaction分类
建筑与水利引用本文复制引用
夏时哲,王傲群,蔡梦路..考虑电动汽车储能特性的充电聚合管控策略研究[J].电力需求侧管理,2024,26(4):61-67,7.基金项目
国网宁波供电公司科技项目(KJXM2022022) （KJXM2022022）
