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Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks

Author

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  • Xian Yang

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
    School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413002, China)

  • Yong Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Ye Cai

    (College of Electrical and Information Engineering, Changsha University of Science &Technology, Changsha 410114, China)

  • Yijia Cao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Kwang Y. Lee

    (Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USA)

  • Zhijian Jia

    (State Grid Yiyang Power Supply Company, State Grid, Yiyang 413000, China)

Abstract

With electric vehicles (EVs) pouring into infrastructure systems, coupled traffic and energy transportation networks (CTETNs) can be applied to capture the interactions between the power grids and transportation networks. However, most research has focused solely on the impacts of EV penetration on power grids or transportation networks. Therefore, a simulation model was required for the interactions between the two critical infrastructures, as one had yet to be developed. In this paper, we build a framework with four domains and propose a new method to simulate the interactions and the feedback effects among CTETNs. Considered more accurately reflecting a realistic situation, an origin-destination (OD) pair strategy, a charging strategy, and an attack strategy are modeled based on the vehicle flow and power flow. The model is able to analyze the spatial and temporal distribution characteristics of EVs, and measure the impacts on power grids and transportation networks with road-block. The IEEE 33-bus system with geographic information was used as a test system to verify the effectiveness of the model.

Suggested Citation

  • Xian Yang & Yong Li & Ye Cai & Yijia Cao & Kwang Y. Lee & Zhijian Jia, 2018. "Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks," Energies, MDPI, vol. 11(7), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1776-:d:156566
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    References listed on IDEAS

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    Cited by:

    1. Shafqat Jawad & Junyong Liu, 2020. "Electrical Vehicle Charging Services Planning and Operation with Interdependent Power Networks and Transportation Networks: A Review of the Current Scenario and Future Trends," Energies, MDPI, vol. 13(13), pages 1-24, July.
    2. Xu, Luo & Guo, Qinglai & Sheng, Yujie & Muyeen, S.M. & Sun, Hongbin, 2021. "On the resilience of modern power systems: A comprehensive review from the cyber-physical perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    3. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.

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