| 引用本文: | 郭创新,刘洞宇,朱承治,王雪平,曹袖.电动汽车居民区充电负荷建模分析[J].电力自动化设备,2020,40(1): |
| GUO Chuangxin,LIU Dongyu,ZHU Chengzhi,WANG Xueping,CAO Xiu.Modeling and analysis of electric vehicle charging load in residential area[J].Electric Power Automation Equipment,2020,40(1): |
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| 摘要: |
| 提出一种基于电动汽车停车时间、充电需求等因素的电动汽车居民区充电负荷建模分析的新方法。针对电动汽车的停车行为，研究基于居民区的区域停车生成率的停车需求，建立居民区的区域停车模型。建立里程分布模型，研究电动汽车移动和电耗量的关系，建立电动汽车剩余荷电状态(SOC)模型。结合居民区的区域停车模型、荷电状态分布模型，通过详细考察居民区区域停车这一功能分区特征，综合设备性质、居民区区域特征等因素，得到居民区的电动汽车充电模型。在充电模型中包含对电动汽车电池的工况分析、电耗量分析、返程时间分布、返程时SOC分布等环节的优化分析。采用一系列的数学建模方法，完成了基于时间分布的电动汽车居民区充电负荷的相关性质研究，以此作为日后电网调度、削峰填谷的参考。以某市为算例，进行蒙特卡洛模拟和分析，得出充电负荷分布的相关结论。 |
| 关键词: 电动汽车 居民区充电负荷 SOC分布 充电模型 建模 |
| DOI：10.16081/j.epae.201912015 |
| 分类号:U469.72 |
| 基金项目:国家电网公司科技项目(大规模V2G网络模拟平台研究)(52110417008) |
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| Modeling and analysis of electric vehicle charging load in residential area |
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GUO Chuangxin1, LIU Dongyu1,2, ZHU Chengzhi3, WANG Xueping2, CAO Xiu3
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1.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.School of Computer Science, Fudan University, Shanghai 200433, China;3.State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007, China
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| Abstract: |
| A new method for modeling and analyzing the electric vehicle charging load in the residential area is proposed, which is based on the factors of parking time and charging demands of electric vehicles, and so on. Aiming at the parking behavior of electric vehicles, the parking demand is studied based on the regional parking generation rate of residential areas, and the regional parking model of residential areas is established. The travelled distance distribution model is established, and the relationship between the movement and power consumption of electric vehicles is studied, then the residual SOC(State Of Charge) model is established. Combining the regional parking model of residential areas with the SOC distribution model, the charging model of electric vehicles in residential areas is obtained through the detailed investigation of the regional parking features in residential areas and the integration of equipment properties, regional characteristics of residential areas and other factors. The charging model includes the optimization analysis of working condition of electric vehicle battery, power consumption, return time distribution, SOC distribution of return trip, and so on. A series of mathematical modeling methods are adopted to complete the research on relevant properties of electric vehicle charging load in residential areas based on time distribution, which can be used as a reference for future power grid scheduling and peak-load shifting. Taking a city as an example, Monte Carlo simulation and analysis are carried out, and relevant conclusions of charging load distribution are obtained. |
| Key words: electric vehicles charging load in residential area SOC distribution charging model modeling |
