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文章摘要
电动汽车充电负荷时空分布建模研究综述
Survey on the Spatio-temporal Distribution Modeling of Electric Vehicle Charging Loads
Received:September 18, 2021  Revised:October 11, 2021
DOI:10.19753/j.issn1001-1390.2002.08.001
中文关键词: 电动汽车  影响因素  时空分布  负荷建模  综述
英文关键词: EV  influencing factors  temporal and spatial distribution  load modeling  survey
基金项目:基金项目:国网四川省电力公司项目(SGSCJY00GHJS2100024),国家自然科学基金(51307114).
Author NameAffiliationE-mail
Liu Yong State Grid Sichuan Aba electric power supply company 1037716325@qq.com 
LI Quanyou School of Electrical Engineering,Southwest Jiaotong University fanwenli@swjtu.edu.cn 
DAI Chaohua* School of Electrical Engineering,Southwest Jiaotong University daichaohua@swjtu.edu.cn 
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中文摘要:
      随着电动汽车(EV)市场投入规模不断扩大,具有时空随机性和不确定性的EV充电负荷将严重影响配电网规划与运行,而EV充电负荷时空分布建模是研究EV充电负荷对配电网影响的基础。为此,本文综述了电动汽车充电负荷时空分布建模方面的近年研究现状。首先,从外部影响因素和内部影响因素两个方面,总结分析影响EV充电负荷时空分布的因素;然后,从基于数据驱动和模型驱动两个方面,对EV充电负荷的时空分布建模方法进行综述;最后,对现有研究方法存在的不足进行分析,对未来的研究方向进行展望。#$NL关键词:电动汽车; 影响因素; 时空分布; 负荷建模; 综述#$NL中图分类号:TM73
英文摘要:
      With the continuous expansion of the scale of investment in the electric vehicle (EV) market, the EV charging loads with spatiotemporal randomness and uncertainty will seriously affect the planning and operation of the distribution networks. The modeling of the space-time distribution of EV charging load is the research basis to study the impact of EV charging load on the distribution grid. Forever, this paper summarizes the research status of the space-time distribution modeling of electric vehicle charging loads in recent years. Firstly, from the external and internal factors, this paper summarizes and analyzes the factors that affect the temporal and spatial distribution of EV charging loads; Then, from two aspects of data-driven and model-driven, the spatial-temporal distribution modeling methods of EV charging loads are summarized; Finally, the shortcomings of the existing research methods are analyzed, and the future research direction is prospected.#$NLKeywords: EV; influencing factors; temporal and spatial distribution; load modeling; survey
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