具有随机充电需求的混合动态网络平衡模型

doi:10.13229/j.cnki.jdxbgxb20200785

Abstract

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

CLC Number:

U491

Yun-juan YAN,Wei-xiong ZHA,Jun-gang SHI,Jian LI. Mixed network equilibrium model with stochastic charging demand[J].Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 136-143.

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References 13

1	Windecker A, Ruder A. Fuel economy, cost, and greenhouse gas results for alternative fuel vehicles in 2011[J]. Transport Research Part D: Transport and Environment, 2013, 23: 34⁃40.
2	Beckmann M J, Mcguire C B, Winston C B. Studies in economics of transportation[J]. Operational Research Society, 1956, 7(4):146-147.
3	Wardrop J G. Some theoretical aspects of road traffic research[J]. OR, 1953, 4(4):72⁃73.
4	Jonathan D, Pitu A B, Mirchandani H. The electric vehicle shortest-walk Problem with battery exchanges[J]. Networks and Spatial Economics March, 2016, 16(1):155⁃173.
5	Schneider M, Stenger A, Goeke D. The electric vehicle-routing problem with time windows and recharging stations[J]. Transportation Science, 2014,48(4):500⁃520.
6	Jiang N, Xie C. Computing and analyzing mixed equilibrium network flows with gasoline and electric vehicles[J]. Computer-Aided Civil and Infrastructure Engineering, 2014, 29(8): 626-646.
7	Xie C, Jiang N. Relay requirement and traffic assignment of electric vehicles[J]. Computer-Aided Civil and Infrastructure Engineering, 2016, 31(8): 580-598.
8	He F, Wu D, Yin Y F, et al. Optimal deployment of public charging stations for plug-inhybrid electric vehicles[J]. Transportation Research Part B: Methodological, 2013, 47(C):87-101.
9	Cen X K, Hong K L, Li L, et al. Modeling electric vehicles adoption for urban commute trips[J]. Transportation Research Part B,2018,117(A): 431⁃454.
10	Mock P, Schmid S A, Friedruch H E. Chapter twenty one: market prospects of electric passenger vehicles[M]//Electric & Hybrid Vehicles, Berlin: Elsevier,2010:545-577.
11	Smart J, Stephen S. Battery electric vehicle driving and charging behavior observed early in the EV project [J]. SAE International Journal of Alternative Powertrains, 2012, 1(1): 27-33.
12	Nguyens Dupuis C. An efficient method for computing traffic equilibria in networks with asymmetric transportation costs[J]. Transportation Science, 1984, 18(2):185⁃202.
13	陶顺, 肖湘宁, 温剑锋.电动汽车分散充电设施配比度分析与计算方法[J]. 电工技术学报, 2014, 29(8):11-19.
	Tao Shun, Xiao Xiang-ning, Wen Jian-feng. Analysis and calculation method of matching ratio of electric vehicle decentralized charging facilities [J]. Transactions of China Electrotechnical Society, 2014, 29(8): 11-19.

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Mixed network equilibrium model with stochastic charging demand

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