Zuo, W., Li, K. orcid.org/0000-0001-6657-0522 and Zhong, J. (2024) Reliability Assessment of Power Supply Systems Integrated with Renewables for Electric Road System. Journal of Modern Power Systems and Clean Energy. ISSN 2196-5625
Abstract
With the rapid expansion of urban road networks and increasing ownership of vehicles in many countries and regions, the greenhouse gas and pollutant emissions from road travels have become a global concern. The introduction of electric vehicles (EVs) dynamic charging in road systems has been widely recognized as a viable solution to address this problem, which defined as electric road systems (ERSs). This paper presents a comprehensive study on the reliability of power supply systems integrated with renewables for ERS (ERS-PSRs), which interface with both road traffic and power networks. First, a brief introduction to the charging modes of electric roads demonstrates the coupling of the two networks. A simplified traffic model is then built, based on which the reliability indices of the system considering the influence of the dynamic charging and static charging modes of EVs is proposed. Further, a simplified trip chain based Monte Carlo reliability assessment method of ERS-PSRs is proposed. Case studies based on the IEEE Roy Billinton Test System (RBTS) show that the dynamic charging mode of EVs can not only effectively balance the supply and demand of the power network at different times (shaving peaks and filling valleys), but also significantly improve the reliability of ERS-PSRs. The case studies also examine the effects of the ratio of EVs with dynamic charging, wind generation penetration rate, supplementary wind energy, and energy storage systems (ESS) on the reliability of ERS-PSRs.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Electric road system, electric vehicle, dynamic charging mode, ren wable energy, reliability analysis, Monte Carlo method |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jul 2024 10:43 |
Last Modified: | 23 Aug 2024 14:35 |
Status: | Published online |
Publisher: | IEEE |
Identification Number: | 10.35833/MPCE.2023.000769 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214324 |