Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality

王莹; 纪雨薇; 王妍; 袁百慧; 高飞; 周帅; 孙雪; 艾欣

doi:10.19725/j.cnki.1007-2322.2023.0373

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Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality

更新时间：2026-02-02

- Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality
- Vol. 43, Issue 1, Pages: 149-161(2026)
- 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：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0373
  CLC： 1
- Published：2026
- 稿件说明：
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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：

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

WANG Yi, ZHANG Ning, ZHUO Zhenyu, et al . Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch[J ] . Applied Energy, 2018, 210: 1141−1150.

HU Zechun, SONG Yonghua, XU Zhiwei, et al . Impacts and utilization of electric vehicles integration into power systems[J ] . Proceedings of the CSEE, 2012, 32(4): 1−10(in Chinese).

胡泽春, 宋永华, 徐智威, 等. 电动汽车接入电网的影响与利用[J]. 中国电机工程学报, 2012, 32(4): 1−10.

WANG Xifan, SHAO Chengcheng, WANG Xiuli, et al . Survey of electric vehicle charging load and dispatch control strategies[J ] . Proceedings of the CSEE, 2013, 33(1): 1−10(in Chinese).

王锡凡, 邵成成, 王秀丽, 等. 电动汽车充电负荷与调度控制策略综述[J]. 中国电机工程学报, 2013, 33(1): 1−10.

WANG Biao, YIN Xia. Modeling and analysis on the rational charging and discharging of electric vehicle with V2G function under real-time prices[J]. Power System Protection and Control, 2016, 44(24): 90−96(in Chinese).

王彪, 尹霞. 实时电价下含V2G功能的电动汽车理性充放电模型及其分析[J]. 电力系统保护与控制, 2016, 44(24): 90−96.

ZHU Lei, HUANG He, GAO Song, et al . Research on optimal load allocation of electric vehicle considering wind power consumption[J ] . Proceedings of the CSEE, 2021, 41(S1): 194−203(in Chinese).

朱磊, 黄河, 高松, 等. 计及风电消纳的电动汽车负荷优化配置研究[J]. 中国电机工程学报, 2021, 41(S1): 194−203.

ZHENG Yuanshuo, LI Feng, DONG Jiuling, et al . Optimal dispatch strategy of spatial-temporal flexibility for electric vehicle charging and discharging in vehicle-road-grid mode[J ] . Automation of Electric Power Systems, 2022, 46(12): 88−97(in Chinese).

郑远硕, 李峰, 董九玲, 等. “车-路-网”模式下电动汽车充放电时空灵活性优化调度策略[J]. 电力系统自动化, 2022, 46(12): 88−97.

ZHOU Chunqi, XIANG Yue, TONG Hua, et al . Trajectory-data-driven estimation of electric vehicle charging demand and vehicle-to-grid regulable capacity[J ] . Automation of Electric Power Systems, 2022, 46(12): 46−55(in Chinese).

周椿奇, 向月, 童话, 等. 轨迹数据驱动的电动汽车充电需求及V2G可调控容量估计[J]. 电力系统自动化, 2022, 46(12): 46−55.

FANG Yuxuan, HU Junjie, MA Wenshuai. Optimal dispatch strategy for electric vehicle aggregators based on stackelberg game theory considering user intention[J]. Transactions of China Electrotechinical Society, 2024, 39(16): 5091−5102(in Chinese).

房宇轩, 胡俊杰, 马文帅. 计及用户意愿的电动汽车聚合商主从博弈优化调度策略[J]. 电工技术学报, 2024, 39(16): 5091−5102.

HE Zhengyou, XIANG Yueping, LIAO Kai, et al . Demand, form and key technology of integrated development of energy-transport-information networks[J ] . Automation of Electric Power Systems, 2021, 45(16): 73−86(in Chinese).

何正友, 向悦萍, 廖凯, 等. 能源-交通-信息三网融合发展的需求、形态及关键技术[J]. 电力系统自动化, 2021, 45(16): 73−86.

ZHANG Cong, ZHANG Xiangwen, XIA Junrong, et al . Research on estimation of electric vehicles real-time schedulable capacity[J ] . Power System Protection and Control, 2015, 43(22): 99−106(in Chinese).

张聪, 张祥文, 夏俊荣, 等. 电动汽车实时可调度容量评估方法研究[J]. 电力系统保护与控制, 2015, 43(22): 99−106.

LI Yaohong, CHEN Liangliang, LIU Weidong, et al . Regulation ability estimation of private EVs at city level considering users' trip chain and regulation willingness[J ] . Electric Power Construction, 2021, 42(5): 100−112(in Chinese).

李瑶虹, 陈良亮, 刘卫东, 等. 基于用户出行链和调控意愿的城市级私家电动汽车调控能力评估[J]. 电力建设, 2021, 42(5): 100−112.

ZHANG Panzhao, XIE Lirong, MA Ruizhen, et al . Multi-player two-stage low carbon optimal operation strategy considering electric vehicle cluster schedule ability[J ] . Power System Technology, 2022, 46(12): 4809−4825(in Chinese).

章攀钊, 谢丽蓉, 马瑞真, 等. 考虑电动汽车集群可调度能力的多主体两阶段低碳优化运行策略[J]. 电网技术, 2022, 46(12): 4809−4825.

DENG Yixuan, HUANG Yuping, HUANG Zhouchun. Charging and discharging forecasting of electric vehicles based on random forest algorithm[J]. Automation of Electric Power Systems, 2021, 45(21): 181−188(in Chinese).

邓艺璇, 黄玉萍, 黄周春. 基于随机森林算法的电动汽车充放电容量预测[J]. 电力系统自动化, 2021, 45(21): 181−188.

WANG Junjie, JIA Yulong, MI Zengqiang, et al . Reserve service strategy of electric vehicles based on double-incentive mechanism[J ] . Automation of Electric Power Systems, 2020, 44(10): 68−76(in Chinese).

王俊杰, 贾雨龙, 米增强, 等. 基于双重激励机制的电动汽车备用服务策略[J]. 电力系统自动化, 2020, 44(10): 68−76.

CHEN Kun, SHENG Yujie, LI Tao, et al . Power network-charging station operator coordinated operation considering heterogeneity and incomplete rationality of user decision-making[J ] . Modern Electric Power, 2023, 40(3): 332−341(in Chinese).

陈坤, 盛裕杰, 李涛, 等. 计及用户决策的异质性与不完全理性的电网-充电运营商协同运行[J]. 现代电力, 2023, 40(3): 332−341.

ZHU Xu, SUN Yuanzhang, YANG Bowen, et al . Calculation method of EV cluster’s schedulable potential capacity considering uncertainties and bounded rational energy consumption behaviors[J ] . Electric Power Automation Equipment, 2022, 42(10): 245−254(in Chinese).

朱旭, 孙元章, 杨博闻, 等. 考虑不确定性与非完全理性用能行为的电动汽车集群可调度潜力计算方法[J]. 电力自动化设备, 2022, 42(10): 245−254.

LI Hanyu, DU Zhaobin, CHEN Lidan, et al . Trip simulation based charging load forecasting model and vehicle-to-grid evaluation of electric vehicles[J ] . Automation of Electric Power Systems, 2019, 43(21): 88−96(in Chinese).

李含玉, 杜兆斌, 陈丽丹, 等. 基于出行模拟的电动汽车充电负荷预测模型及V2G评估[J]. 电力系统自动化, 2019, 43(21): 88−96.

DENG Runqi, XIANG Yue, HUANG Yuan, et al . Dispathable margin and optimal operation strategy of electric vehicle clusters in coupled transportation distribution network[J ] . Power System Technology, 2021, 45(11): 4328−4337(in Chinese).

邓润琦, 向月, 黄媛, 等. 交通–配电网耦合下电动汽车集群可调控裕度及优化运行策略[J]. 电网技术, 2021, 45(11): 4328−4337.

SHAO Yinchi, MU Yunfei, YU Xiaodan, et al . A spatial-temporal charging load forecast and impact analysis method for distribution network using EVs-traffic-distribution model[J ] . Proceedings of the CSEE, 2017, 37(18): 5207−5219(in Chinese).

邵尹池, 穆云飞, 余晓丹, 等. “车–路–网”模式下电动汽车充电负荷时空预测及其对配电网潮流的影响[J]. 中国电机工程学报, 2017, 37(18): 5207−5219.

CHEN Sheng. Research on the practical relationship model of urban road traffic flow speed and flow[D]. Nanjing: Southeast University, 2005(in Chinese).

陈盛. 城市道路交通流速度流量实用关系模型研究[D]. 南京: 东南大学, 2005.

LIU Junqi, JIANG Shujun, WANG Zhaoqi, et al . Dispatchable capability of electric vehicle clusters considering temporal-spatial characteristics[J ] . Electric Power Construction, 2021, 42(12): 83−92(in Chinese).

刘峻岐, 蒋姝俊, 王照琪, 等. 基于时空耦合关联分析的电动汽车集群可调度能力评估[J]. 电力建设, 2021, 42(12): 83−92.

CHEN Lidan, NIE Yongquan, ZHONG Qing. A model for electric vehicle charging load forecasting based on trip chains[J]. Transactions of China Electrotechnical Society, 2015, 30(4): 216−225(in Chinese).

陈丽丹, 聂涌泉, 钟庆. 基于出行链的电动汽车充电负荷预测模型[J]. 电工技术学报, 2015, 30(4): 216−225.

SONG Yunong, LIN Shunjiang, TANG Zhiqiang, et al . Spatial-temporal distribution probablistic modeling of electric vehicle charging load based on dynamic traffic flow[J ] . Automation of Electric Power Systems, 2020, 44(23): 47−56(in Chinese).

宋雨浓, 林舜江, 唐智强, 等. 基于动态车流的电动汽车充电负荷时空分布概率建模[J]. 电力系统自动化, 2020, 44(23): 47−56.

YAN Jie, ZHANG Jing, LIU Yongqian, et al . EV charging load simulation and forecasting considering traffic jam and weather to support integration of renewables and EVs[J ] . Renewable Energy, 2020, 159: 623−641.

ZHANG Meixia, WU Zijing, YANG Xiu. Electric vehicle charging load prediction based on dynamic energy consumption model and user psychology[J]. Modern Electric Power, 2022, 39(6): 710−719(in Chinese).

张美霞, 吴子敬, 杨秀. 基于动态能耗模型与用户心理的电动汽车充电负荷预测[J]. 现代电力, 2022, 39(6): 710−719.

SONG Yuanyuan. Research on energy consumption modeling and range estimation of pure electric vehicles based on driving conditions[D]. Beijing: Beijing Jiaotong University, 2014(in Chinese).

宋媛媛. 基于行驶工况的纯电动汽车能耗建模及续驶里程估算研究[D]. 北京: 北京交通大学, 2014.

SHAO Yinchi, MU Yunfei, LIN Jiaying, et al . Architecture of online analysis for power grid oriented to rapid response[J ] . Automation of Electric Power Systems, 2019, 43(18): 60−66(in Chinese).

邵尹池, 穆云飞, 林佳颖, 等. “车-站-网”多元需求下的电动汽车快速充电引导策略[J]. 电力系统自动化, 2019, 43(18): 60−66.

YU Haidong, ZHANG Yan, PAN Aiqiang. Medium-and long-term evolution model of charging load for private electric vehicle[J]. Automation of Electric Power Systems, 2019, 43(21): 80−87(in Chinese).

于海东, 张焰, 潘爱强. 电动私家车充电负荷中长期推演模型[J]. 电力系统自动化, 2019, 43(21): 80−87.

SONG Wenqin, JIN Panrun, SUN Yalu, et al . Study on coordinated access of fast load based on electric vehicle charging navigation[J ] . Advanced Technology of Electrical Engineering and Energy, 2018, 37(6): 79−87.(in Chinese).

宋汶秦, 靳攀润, 孙亚璐, 等. 基于电动汽车充电导航的快充负荷有序接入研究[J]. 电工电能新技术, 2018, 37(6): 79−87.

HE Shengli, LIU Xiantao, ZHANG Tian, et al . Optimal scheduling strategy of multi-element charging station for bounded rational users[J ] . Electric Power Engineering Technology, 2021, 40(5): 34−40(in Chinese).

何胜利, 刘现涛, 张甜, 等. 面向非完全理性用户的多元充电站优化调度策略[J]. 电力工程技术, 2021, 40(5): 34−40.

WU Binzhang, YANG Jun, LIN Yangjia, et al . Research on spatiotemporal behavior of electric vehicles considering the users' bounded rationality[J ] . Transactions of China Electrotechnical Society, 2020, 35(7): 1563−1574(in Chinese).

吴赋章, 杨军, 林洋佳, 等. 考虑用户有限理性的电动汽车时空行为特性[J]. 电工技术学报, 2020, 35(7): 1563−1574.

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