| 引用本文: | 张 琦,杨健维,向悦萍,何正友.计及气象因素的区域电动汽车充电负荷建模方法[J].电力系统保护与控制,2022,50(6):14-22.[点击复制] |
| ZHANG Qi,YANG Jianwei,XIANG Yueping,HE Zhengyou.Regional electric vehicle charging load modeling method considering meteorological factors[J].Power System Protection and Control,2022,50(6):14-22[点击复制] |
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| 摘要: |
| 电动汽车充电负荷受气象因素影响显著，且在不同区域显示出相应的特征。提出一种计及气象因素的区域电动汽车充电负荷建模方法，以便更准确掌握电动汽车充电需求。首先，建立车载空调耗电量和车载电池容量随气温变化的关联模型，分析不同气象条件下电动汽车的充电需求。其次，建立适宜气象条件下区域电动汽车充电负荷时空分布模型框架。进而，引入气象因素对电动汽车充电需求的影响，提出计及气象因素的区域电动汽车充电负荷建模方法，刻画电动汽车充电负荷随气象变化的关系。最后，基于上海市典型日气象数据进行仿真，结果表明，电动汽车充电负荷受气象因素影响明显，所提建模方法能有效反映不同气象条件下区域电动汽车充电负荷的变化情况。 |
| 关键词: 电动汽车 区域充电负荷 气象因素 车载空调 车载电池 |
| DOI：DOI: 10.19783/j.cnki.pspc.210751 |
| 投稿时间：2021-06-24修订日期：2021-11-24 |
| 基金项目:国家自然科学基金项目资助(51807168) |
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| Regional electric vehicle charging load modeling method considering meteorological factors |
| ZHANG Qi,YANG Jianwei,XIANG Yueping,HE Zhengyou |
| (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610000, China) |
| Abstract: |
| The electric vehicle (EV) charging load is significantly affected by meteorological factors and shows corresponding characteristics in different regions. A regional EV charging load modeling method considering meteorological factors is proposed to ascertain EV charging demand more accurately. First, a correlation model of on-board air conditioning power consumption and battery capacity with temperature is established to analyze the charging demand of EV under different meteorological conditions. Secondly, a spatial and temporal distribution model framework of regional EV charging load under suitable meteorological conditions is established. The influence of meteorological factors on EV charging demand is introduced, and a regional EV charging load modeling method is proposed considering meteorological factors. This describes the relationship between EV charging load and meteorological changes. Finally, a simulation is carried out based on the typical daily meteorological data of Shanghai. The results show that the EV charging load is significantly affected by meteorological factors, and the proposed modeling method can effectively reflect the regional EV charging load changes under different meteorological conditions.
This work is supported by the National Natural Science Foundation of China (No. 51807168). |
| Key words: electric vehicle regional charging load meteorological factors on-board air conditioning on-board battery |
