电动汽车充放电负荷预测研究综述

CHEN Lidan

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电动汽车充放电负荷预测研究综述

更新时间：2025-08-13

- 电动汽车充放电负荷预测研究综述
- Automation of Electric Power Systems Vol. 43, Issue 10, Pages: 177-191(2019)
- 作者机构：
  
  华南理工大学广州学院电气工程学院,广东省,广州市,510800
- 作者简介：
- 基金信息：
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- Published：2019
- 稿件说明：
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CHEN Lidan. [J]. Automation of electric power systems, 2019, 43(10): 177-191.
DOI：

CHEN Lidan. [J]. Automation of electric power systems, 2019, 43(10): 177-191. DOI：

摘要

随着电动汽车的持续推广以及充电设施的建设和逐步普及，电动汽车将得到越来越多的应用，而电动汽车充电负荷时空分布预测是分析电动汽车接入电网相关研究的基础。首先，分别从车辆性能、充电设施、用户行为习惯等微观层面，以及政策、环境、市场经济等宏观层面总结影响电动汽车充电负荷的关键因素；其次，对电动汽车充电负荷时间分布、空间分布预测方法的发展进行了系统阐述，分析了用户行为不确定性处理技术，同时概括了现有研究中一些新技术的应用情况，并针对电动汽车参与放电潜力评估的研究现状进行了介绍；最后，总结了现有研究方法中存在的不足和改进方向。

Abstract

The adoption rate of electric vehicles(EVs)will considerably increase based on the continuous promotion of EVs and the gradual construction of charging infrastructures. The spatio-temporal distribution prediction of EVs charging load is the basis for the research related to the integration of EVs into the power grid. The key factors of EVs charging load are firstly investigated. Three aspects are considered at the micro level

which are the characteristics of EV

charging facility relevant factors and EV user behavior-related. At the macro level

three main components are addressed in terms of policy

environment and market. Secondly

the paper provides a summary of previous work regarding modeling of spatio-temporal EV charging

where the uncertainties of user behavior are discussed in detail. The application of some new technologies in the current research is presented. Moreover

the research status of EVs participation in discharging potential assessment is delivered. Finally

research gaps that need to be further explored are identified.

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