吉林大学学报(工学版) ›› 2022, Vol. 52 ›› Issue (1): 136-143.doi: 10.13229/j.cnki.jdxbgxb20200785

• 交通运输工程·土木工程 • 上一篇    

具有随机充电需求的混合动态网络平衡模型

闫云娟1(),查伟雄2(),石俊刚2,李剑2   

  1. 1.华东交通大学 机电与车辆工程学院，南昌 330013
    2.华东交通大学 交通运输与物流学院，南昌 330013
  • 收稿日期:2020-10-06 出版日期:2022-01-01 发布日期:2022-01-14
  • 通讯作者: 查伟雄 E-mail:xiaoyan921@sohu.com;jxzhawx@sina.com
  • 作者简介:闫云娟（1977-），女，讲师，博士研究生. 研究方向：交通系统规划 .E-mail：xiaoyan921@sohu.com
  • 基金资助:
    国家自然科学基金项目(52065021);国家自然科学青年科学基金项目(71801093);江西省教育厅科学技术项目(190306)

Mixed network equilibrium model with stochastic charging demand

Yun-juan YAN1(),Wei-xiong ZHA2(),Jun-gang SHI2,Jian LI2   

  1. 1.College of Mechatronics & Vehicle Engineering，East China Jiaotong University，Nanchang 330013，China
    2.Institute of Transportation and Economics，East China Jiaotong University，Nanchang 330013，China
  • Received:2020-10-06 Online:2022-01-01 Published:2022-01-14
  • Contact: Wei-xiong ZHA E-mail:xiaoyan921@sohu.com;jxzhawx@sina.com

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摘要：

考虑电动汽车用户在途随机充电需求，基于随机充电行为及充电排队仿真构建了混合用户平衡模型。在电动汽车不同初始电量状态及市场占有率下，预测了网络平衡交通流和可能充电需求流的变化趋势。利用Frank-Wolfe算法和多标号算法，以Nguyen-Dupius网络为例，设计了电动汽车充电排队仿真的平衡交通流预测模型，本文研究结果可为交通管理者提供科学参考。

关键词: 交通运输规划与管理, 混合用户平衡模型, Frank?wolfe算法, 排队逗留时间, 随机充电概率

Abstract:

With the increase of electric vehicle mileage and the increase of public charging facilities， it is inevitable that electric vehicles choose to charge in their commute more and more widely. Considering the stochastic charging demand of electric vehicle users， a mixed user equilibrium model is constructed based on the stochastic charging behavior and charging queuing simulation. Under different initial state of charge and market share of electric vehicles， the trend of equilibrium traffic flow and potential charging demand flow is predicted. Based on stochastic charging behavior and charging queuing simulation， a mixed user equilibrium model is constructed. The model is based on Frank?Wolfe algorithm and multi-label algorithm. Taking Nguyen-Dupius network as an example， this paper designs an equilibrium traffic flow prediction model integrating electric vehicle charging queuing simulation， which provides a scientific management scheme for traffic managers.

Key words: transportation planning and management, mixed user equilibrium model, Frank-Wolfe algorithm, queuing dwell time, stochastic charging probability

中图分类号: 

  • U491

图1

模型网络Nguyen-Dupius"

表1

电动汽车路径枚举"

ODOD12OD13OD42OD43
11，5，6，7，8，21，5，6，7，11，34，5，6，7，8，24，5，6，7，11，3
21，5，6，7，11，21，5，6，10，11，34，5，6，7，11，24，5，6，10，11，3

3

4

1，5，6，10，11，2

1，5，9，10，11，2

1，12，6，7，11，3

1，5，9，10，11，3

4，5，6，10，11，2

4，9，10，11，2

4，5，9，10，11，3

4，9，10，11，3

51，12，6，7，8，21，12，610，1134，5，9，10，11，2
61，12，6，7，11，2
71，12，6，10，11，2

表2

充电概率（SOC=100%）"

OD12OD13OD42OD4
P6P11P6P11P6P11P6P11
10.01700.0170.0760.02600.0260.098
20.0170.0670.0170.0540.0260.0980.0260.071
30.0170.0540.0240.0810.0240.07100.098
400.03700.03700.02400.024
50.02400.0240.06700.024
60.0240.092
70.0240.067

表3

充电概率（SOC=80%）"

OD12OD13OD42OD43
P6P11P6P11P6P11P6P11
10.09500.0950.2810.13000.1300.331
20.0950.2570.0950.2230.1300.3310.1300.269
30.0950.2230.1210.2930.1210.26900.331
400.16800.16900.12100.121
50.12100.1210.25700.130
60.1210.318
70.1210.257

表4

充电概率（SOC=60%）"

OD12OD13OD42OD43
P6P11P6P11P6P11P6P11
10.19000.1900.4090.24200.2420.449
20.1900.3870.1900.3530.2420.4490.2420.398
30.1900.3530.2290.4190.2290.39800.341
400.29200.29200.22900.449
50.22900.2290.38700.412
60.2290.439
70.2290.387

图2充电初始 SOC 频率直方图及概率密度"

图3

不同初始SOC及市场占有率路段平衡流量对比图"

图4

不同初始SOC及市场占有率下可能充电流量对比图"

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