摘要
为促进风电在电网中的消纳,减轻配电网负荷压力,提出考虑风电出力波动和电动汽车集群储能系统平抑控制策略。首先,对单体电动汽车入网后行为特性进行储能建模,依据不同荷电状态(SOC)电动汽车有功响应能力,构建电动汽车集群储能模型,基于集群储能能力的差异性,利用多个电动汽车集群协调平抑联络线功率波动。其次,由集群储能系统依据联络线功率平抑波动值进行逐层自适应功率分配,确定各电动汽车蓄电池—超级电容的任务功率,充分利用车网连续调节能力。所提平抑策略可减轻大规模电动汽车连网后配电网中负荷的波动,实现储能系统内部功率相互流动,有效减少常规储能容量配置。
In order to promote the absorption of wind power in the power grid and reduce the load pressure of the distribution network,a control strategy considering the fluctuation of wind power fluctuation and the stabilization of the electric vehicle cluster energy storage system is proposed in this paper.Firstly,the energy storage modeling of the behavior characteristics of the single electric vehicle after entering the network is carried out.According to the active response ability of the electric vehicle under different SOC,the energy storage model of the electric vehicle cluster is constructed.Based on the difference of the energy storage ability of the cluster,multiple electric vehicle clusters are used to coordinate and suppress the power fluctuation of the tie line.Secondly,the cluster energy storage system makes the adaptive power distribution layer by layer according to the tie line power smoothing fluctuation value,determines the task power of each EV battery super capacitor,and makes full use of the continuous regulation ability of the vehicle network.The proposed strategy can reduce the load fluctuation in the distribution network after the connection of large-scale electric vehicle,which realizes the mutual flow of power in the energy storage system,and effectively reduces the allocation of conventional energy storage capacity.
作者
郑浩
崔双喜
程叶凡
左帅
Zheng Hao;Cui Shuangxi;Cheng Yefan;Zuo Shuai(Engineering Research Center of Ministry of Education of Renewable Energy Power Generation and Grid Connection Technology,Xinjiang University,Urumqi 830000,China)
出处
《电测与仪表》
北大核心
2021年第7期12-18,共7页
Electrical Measurement & Instrumentation
基金
新疆自然科学基金资助项目(BS160246)。
关键词
风电
电动汽车
自适应算法
集群
储能能力
wind power
electric vehicle
adaptive algorithm
cluster
energy storage capacity