考虑新能源汽车EV负荷随机性的蓄电池容量功率规划  

Battery Capacity Power Planning Considering the Stochasticity of New Energy Vehicle EV Loads

作　　者：王宇驰 Wang Yuchi(School of Electrical and Control Engineering,Liaoning University of Engineering and Technology,Huludao Liaoning 125105,China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《现代工业经济和信息化》2024年第7期105-107,共3页Modern Industrial Economy and Informationization

摘　　要：为了加快提升国家电动汽车蓄电池的产业竞争力,满足新能源汽车健康发展的需要,将在考虑电动汽车负荷随机性的条件下,集不同程度的并网波动性与时间尺度进行容量优化,并使用多目标灰狼算法实现蓄电池的最优充放电功率以及最优容量。In order to accelerate the improvement of the industrial competitiveness of the national electric vehicle batteries,and to meet the needs of the healthy development of the new energy vehicles,this paper will be in the consideration of the conditions of electric vehicle load stochasticity,the set of different degrees of grid-connected fluctuation and time scales for capacity optimisation,and use the multi-objective grey wolf algorithm to achieve the optimal charging and discharging power as well as the optimal capacity of the battery.

关 键 词：EV负荷 容量功率规划 多目标灰狼算法 P-Gird技术 

分 类 号：U472[机械工程—车辆工程]