Modeling and Pricing Strategy for Transportation-Power Coupling Networks with Autonomous Mobility-on-demand Systems

GENG Hua; WANG Han; YAN Zheng; LI Qun; YUAN Xiaodong; WANG Mingshen

doi:10.7500/AEPS20260302006

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Modeling and Pricing Strategy for Transportation-Power Coupling Networks with Autonomous Mobility-on-demand Systems

Basic Research | 更新时间：2026-10-16

- Modeling and Pricing Strategy for Transportation-Power Coupling Networks with Autonomous Mobility-on-demand Systems
- Automation of Electric Power Systems Vol. 50, Issue 20, Pages: 56-66(2026)
- 作者机构：
  
  1.电力传输与功率变换控制教育部重点实验室（上海交通大学），上海市 200240
  2.上海非碳基能源转换与利用研究院，上海市 200240
  3.国网江苏省电力有限公司电力科学研究院，江苏省南京市 211103
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52477101)
- DOI：10.7500/AEPS20260302006
  CLC：
- Received：02 March 2026，
  
  Revised：2026-04-28，
  
  Online First：31 July 2026，
  
  Published：25 October 2026
- 稿件说明：
移动端阅览
耿华,王晗,严正等.含按需自治移动系统的交通-电力耦合网络建模与定价策略[J].电力系统自动化,2026,50(20):56-66.

GENG Hua,WANG Han,YAN Zheng,et al.Modeling and Pricing Strategy for Transportation-Power Coupling Networks with Autonomous Mobility-on-demand Systems[J].Automation of Electric Power Systems,2026,50(20):56-66.
耿华,王晗,严正等.含按需自治移动系统的交通-电力耦合网络建模与定价策略[J].电力系统自动化,2026,50(20):56-66. DOI： 10.7500/AEPS20260302006.

GENG Hua,WANG Han,YAN Zheng,et al.Modeling and Pricing Strategy for Transportation-Power Coupling Networks with Autonomous Mobility-on-demand Systems[J].Automation of Electric Power Systems,2026,50(20):56-66. DOI： 10.7500/AEPS20260302006.

摘要

电动汽车的大规模推广应用增强了交通网与配电网之间的耦合互动，且先进无人驾驶技术促进了依托车辆按需自治移动（AMoD）系统的智慧交通运行模式应用，进一步增强了交通-电力耦合网络的运行复杂性。文中提出一种含车辆AMoD系统的交通-电力耦合网络运行模型与定价策略。首先，提出一种含车辆AMoD系统的交通-电力耦合网络运行框架，建立了计及可控与不可控车流交互影响的交通网-配电网耦合运行双层模型，以实现耦合网络运行状态刻画。其中，上层模型为包含配电网与交通网可控车流的社会最优模型，下层模型为以交通网不可控车流为主体的随机用户均衡模型。然后，设计了一种基于逆优化法的交通-电力耦合网络最优定价策略，通过合理收取道路拥堵费与充电附加费引导不可控车流出行，以实现耦合网络的全局最优运行。最后，通过算例验证了车辆AMoD系统与所提定价策略在降低耦合网络整体运行成本方面的有效性。

Abstract

The large-scale popularization and application of electric vehicles have strengthened the coupling interaction between transportation networks and distribution networks. Advanced autonomous driving technologies have facilitated the adoption of intelligent transportation operation modes relying on vehicle autonomous mobility-on-demand (AMoD) systems

which further increases the operation complexity of transportation-power coupling networks. This paper puts forward an operation model and pricing strategy for transportation-power coupling networks with vehicle AMoD systems. First

an operation framework for transportation-power coupling networks with AMoD systems is proposed

and a bi-level coupled operation model for the transportation-power coupling network considering the interaction influence of controllable and uncontrollable traffic flows is established to describe the operating states of coupling networks. Among them

the upper-level model is a social optimum model covering the distribution network and controllable traffic flows of transportation networks

whereas the lower-level model is a stochastic user equilibrium model centered on the uncontrollable traffic flows of transportation networks. Then

an optimal pricing strategy for transportation-power coupling networks based on the inverse optimization method is designed. It guides the travel of uncontrollable traffic flows via reasonably collecting road congestion charges and charging surcharges to realize the globally optimal operation of coupling networks. Finally

numerical cases verify the effectiveness of vehicle AMoD systems and the proposed pricing strategy in cutting the total operating costs of coupling networks.

关键词

Keywords

references

王俊，王馨，朱金大，等 . 考虑动态定价的新能源汽车能源站优化运行［J］. 电力系统自动化， 2024 ， 48 （ 22 ）： 182 - 190 .

Wang Jun ， Wang Xin ， Zhu Jinda ， et al . Optimal operation of renewable-energy vehicle energy stations considering dynamic pricing ［J］. Automation of Electric Power Systems ， 2024 ， 48 （ 22 ）： 182 - 190 .

方晓涛，严正，王晗，等 . 考虑“路-车-源-荷”多重不确定性的交通网与配电网概率联合流分析［J］. 电力系统自动化， 2022 ， 46 （ 12 ）： 76 - 87 .

Fang Xiaotao ， Yan Zheng ， Wang Han ， et al . Analysis on probabilistic joint flow for transportation network and distribution network considering multiple uncertainties of road-vehicle-source-load ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 12 ）： 76 - 87 .

邵成成，李徐亮，钱涛，等 . 基于交通均衡的电动汽车快速充电负荷模拟［J］. 中国电机工程学报， 2021 ， 41 （ 4 ）： 1368 - 1376 .

Shao Chengcheng ， Li Xuliang ， Qian Tao ， et al . Simulation of EV fast charging load based on traffic equilibrium ［J］. Proceedings of the CSEE ， 2021 ， 41 （ 4 ）： 1368 - 1376 .

Chen A ， Yang H ， Lo H K ， et al . Capacity reliability of a road network： an assessment methodology and numerical results ［J］. Transportation Research Part B： Methodological ， 2002 ， 36 （ 3 ）： 225 - 252 .

Alizadeh M ， Wai H T ， Chowdhury M ， et al . Optimal pricing to manage electric vehicles in coupled power and transportation networks ［J］. IEEE Transactions on Control of Network Systems ， 2017 ， 4 （ 4 ）： 863 - 875 .

Wei W ， Wu D M ， Wu Q W ， et al . Interdependence between transportation system and power distribution system： a comprehensive review on models and applications ［J］. Journal of Modern Power Systems and Clean Energy ， 2019 ， 7 （ 3 ）： 433 - 448 .

Lv S ， Chen S ， Wei Z N ， et al . Security-constrained optimal traffic-power flow with adaptive convex relaxation and contingency filtering ［J］. IEEE Transactions on Transportation Electrification ， 2023 ， 9 （ 1 ）： 1605 - 1617 .

谢仕炜，林伟伟，张亚超 . 基于变分不等式理论的电力-交通耦合网络均衡状态研究［J］. 中国电机工程学报， 2022 ， 42 （ 17 ）： 6220 - 6238 .

Xie Shiwei ， Lin Weiwei ， Zhang Yachao . Research on coupled power-transportation network equilibrium state based on variational inequality theory ［J］. Proceedings of the CSEE ， 2022 ， 42 （ 17 ）： 6220 - 6238 .

Qian T ， Shao C C ， Li X L ， et al . Enhanced coordinated operations of electric power and transportation networks via EV charging services ［J］. IEEE Transactions on Smart Grid ， 2020 ， 11 （ 4 ）： 3019 - 3030 .

Zhang R ， Rossi F ， Pavone M . Analysis， control， and evaluation of mobility-on-demand systems： a queuing-theoretical approach ［J］. IEEE Transactions on Control of Network Systems ， 2019 ， 6 （ 1 ）： 115 - 126 .

Salazar M ， Tsao M ， Aguiar I ， et al . A congestion-aware routing scheme for autonomous mobility-on-demand systems ［C］// 2019 18th European Control Conference （ECC）， 2019 ： 3040 - 3046 .

Rossi F ， Iglesias R ， Alizadeh M ， et al . On the interaction between autonomous mobility-on-demand systems and the power network： models and coordination algorithms ［J］. IEEE Transactions on Control of Network Systems ， 2020 ， 7 （ 1 ）： 384 - 397 .

Estandia A ， Schiffer M ， Rossi F ， et al . On the interaction between autonomous mobility on demand systems and power distribution networks—an optimal power flow approach ［J］. IEEE Transactions on Control of Network Systems ， 2021 ， 8 （ 3 ）： 1163 - 1176 .

Xie S W ， Wu Q W ， Hatziargyriou N D ， et al . Collaborative pricing in a power-transportation coupled network： a variational inequality approach ［J］. IEEE Transactions on Power Systems ， 2023 ， 38 （ 1 ）： 783 - 795 .

Ding Z H ， Tan W R ， Lu W B ， et al . Quality-of-service aware battery swapping navigation and pricing for autonomous mobility-on-demand system ［J］. IEEE Transactions on Industrial Informatics ， 2022 ， 18 （ 11 ）： 8247 - 8257 .

Lv S ， Wei Z N ， Chen S ， et al . Integrated demand response for congestion alleviation in coupled power and transportation networks ［J］. Applied Energy ， 2021 ， 283 ： 116206 .

Ghavami M ， Haeri M ， Kebriaei H . Decentralized pricing mechanism for traffic and charging station management of EVs in smart cities ［J］. IEEE Transactions on Intelligent Transportation Systems ， 2024 ， 25 （ 6 ）： 5258 - 5270 .

Wei W ， Wu L ， Wang J H ， et al . Network equilibrium of coupled transportation and power distribution systems ［J］. IEEE Transactions on Smart Grid ， 2018 ， 9 （ 6 ）： 6764 - 6779 .

Wang H ， Xu X Y ， Chen Y ， et al . Stochastic optimization of coupled power distribution-urban transportation network operations with autonomous mobility on demand systems ［J］. IEEE Transactions on Smart Grid ， 2024 ， 15 （ 3 ）： 3040 - 3053 .

Shao C C ， Li K ， Li X L ， et al . A decentralized bi-level decomposition method for optimal operation of electric vehicles in coupled urban transportation and power distribution systems ［J］. IEEE Transactions on Transportation Electrification ， 2024 ， 10 （ 1 ）： 2235 - 2246 .

Lv S ， Chen S ， Wei Z N ， et al . Incentivizing the collaboration between travelers and power-traffic network operators： an asymmetric Nash bargaining approach ［J］. IEEE Transactions on Sustainable Energy ， 2024 ， 15 （ 2 ）： 1328 - 1340 .

Li J Q ， Xu X Y ， Yan Z ， et al . Dynamic flow equilibrium of transportation and power distribution networks considering flexible traveling choices and voltage quality improvement ［J/OL］. CSEE Journal of Power and Energy Systems ， 2025-10-10 . https：//ieeexplore.ieee.org/abstract/document/10436624 https://ieeexplore.ieee.org/abstract/document/10436624 .

Dial R B . A probabilistic multipath traffic assignment model which obviates path enumeration ［J］. Transportation Research ， 1971 ， 5 （ 2 ）： 83 - 111 .

Li K ， Shao C C ， Li X L ， et al . An inverse optimization method for electric vehicle charging and road toll pricing in coupled urban transportation and power distribution systems ［J］. IEEE Transactions on Smart Grid ， 2024 ， 15 （ 2 ）： 1849 - 1860 .

Wei W ， Mei S W ， Wu L ， et al . Optimal traffic-power flow in urban electrified transportation networks ［J］. IEEE Transactions on Smart Grid ， 2017 ， 8 （ 1 ）： 84 - 95 .

IBM CPLEX ［EB/OL］. ［ 2025-09-19 ］. http：//www.ibm.com/support/knowledgecenter/# http://www.ibm.com/support/knowledgecenter/# ！/SSSA 5 P/welcome .

Tawarmalani M ， Sahinidis N V . A polyhedral branch-and-cut approach to global optimization ［J］. Mathematical Programming ， 2005 ， 103 （ 2 ）： 225 - 249 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Aggregation and Distributed Scheduling of Multi-type Flexibility Resources Including Electric Vehicles

Adaptive Continuous Sliding Mode Control of Hybrid Energy Storage System Based on Fuel Cells

Feasible Region Boundary Interval Prediction for Large-scale Electric Vehicles Based on Multi-timescale Integration

Hierarchical Coordinated Optimal Scheduling of Transmission-Distribution Networks and Electric Vehicle Aggregators Based on Feasible Region Aggregation and Projection

Sequential Clearing Based Ancillary Service Market Mechanism for Inertia and Primary Frequency Regulation

Related Author

XIE Haixiang

GAO Shan

ZHENG Junyi

HUANG Xueliang

ZHANG Weiqi

SONG Kai

SUN Chuanyu

PING Fan

Related Institution

School of Electrical Engineering, Southeast University

School of Electrical Engineering and Automation, Harbin Institute of Technology

NARI Technology Co., Ltd.

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

China Electric Power Research Institute Co., Ltd.

AI问答

⁰