EN考虑车-路-站交互与用户非完全理性的电动汽车可调容量评估
Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality
- 现代电力 2026年43卷第1期 页码：149-161
- 作者机构：
1. 国网黑龙江省电力有限公司经济技术研究院,黑龙江省,哈尔滨市,150036
2. 华北电力大学 电气与电子工程学院, 北京市 昌平区,102206
- 作者简介：
[ "王莹(1983)，女，硕士，高级工程师，研究方向为能源电力发展规划、能源互联网，E-mail：bo831129@126.com" ]
[ "纪雨薇(1999)，女，硕士研究生，研究方向为需求响应、高可再生能源消纳，E-mail：a13718611912@126.com" ]
[ "王妍(1991)，女，学士，工程师，研究方向为能源互联网，E-mail：909075959@qq.com" ]
[ "袁百慧(1998)，女，硕士，工程师，研究方向为新能源技术，E-mail：1115828244@qq.com" ]
[ "高飞(2001)，男，硕士研究生，研究方向为新能源电力系统及微网，E-mail：seacrestcounty@163.com" ]
[ "周帅(2000)，男，博士研究生，研究方向为新能源电力系统及微网，E-mail：15600463955@163.com" ]
[ "孙雪(2000)，女，硕士研究生，研究方向为新能源电力系统及微网，E-mail：13066016150@163.com" ]
[ "艾欣(1964)，男，博士，通信作者，教授，博士生导师，研究方向为新能源电力系统及微网，E-mail：aixin@ncepu.edu.cn" ]
- 基金信息：国网黑龙江省电力有限公司科技项目(522448230006)。
DOI：10.19725/j.cnki.1007-2322.2023.0373
中图分类号： 1-
纸质出版：2026
- 稿件说明：
移动端阅览
王莹, 纪雨薇, 王妍, 等. 考虑车-路-站交互与用户非完全理性的电动汽车可调容量评估[J]. 现代电力, 2026,43(1):149-161.
王莹, 纪雨薇, 王妍, et al. Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality[J]. 2026, 43(1): 149-161.
王莹, 纪雨薇, 王妍, 等. 考虑车-路-站交互与用户非完全理性的电动汽车可调容量评估[J]. 现代电力, 2026,43(1):149-161. DOI： 10.19725/j.cnki.1007-2322.2023.0373.
王莹, 纪雨薇, 王妍, et al. Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality[J]. 2026, 43(1): 149-161. DOI： 10.19725/j.cnki.1007-2322.2023.0373.
摘要
电动汽车(electric vehicle，EV)具有快速响应能力，准确评估电动汽车的可调容量是发挥其灵活性价值的前提。基于电动汽车、充电站、路网信息交互的实际背景，提出一种考虑用户非完全理性的可调容量评估方法。首先，基于出行链模拟电动汽车在实际路网的时空分布，并预测充电需求。其次，建立车-路-站交互模型，计及排队因素，预测电动汽车的入网时刻与位置。然后，分析电动汽车用能成本与充放电时长的互动调节关系，刻画用户的非完全理性行为，实现电动汽车可调容量的评估。最后，以某区域路网为例，进行可调容量评估，仿真结果表明，所提方法在评估可调节容量方面具有明显优势。
Abstract
Electric vehicles (EVs) have a fast response capability
so the accurate estimation of EVs’ schedulable capacity is a premise for exerting its value of flexibility. A schedulable capacity estimation model
with users’ bounded rationality taken into account
is proposed based on the practical background of information interaction among EVs
charging stations and traffic network. The temporal-spatial distribution and charging demand of EVs in traffic network is forecasted according to trip chain simulation. Secondly
a vehicle-road-station interaction model incorporating queuing factors is established to forecast the time and location at which EV connects to power grid. Subsequently
the mutual adjustment relationship between the cost of energy consumption and charging or discharging time is analyzed
aiming to characterize users’ bounded rational energy consumption behaviors for estimating EVs’ schedulable capacity. Finally
the schedulable capacity of EVs is estimated through simulation on a certain traffic network
and the results demonstrate the advantages of the proposed method in accurately estimating EVs’ schedulable capacity.
关键词
Keywords
references
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