A stochastic simulation model to assess the impacts of electric vehicle charging on power generation : a case study for Qatar

Safak Bayram, Islam; (2019) A stochastic simulation model to assess the impacts of electric vehicle charging on power generation : a case study for Qatar. In: 2019 IEEE Transportation Electrification Conference and Expo (ITEC). Institute of Electrical and Electronics Engineers Inc., USA. ISBN 9781538693100 (https://doi.org/10.1109/ITEC.2019.8790585)

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Abstract

Plug-in electric vehicles (PEVs) have gained popularity in the Gulf Cooperation Council countries as they improve local air quality and are seen as a tool to diversify carbon-based economies. However, power grids in the region are low-inertia systems and often strained by heavy air-conditioning load. In this paper, we present a stochastic simulation study to assess the impacts of PEV charging on the power generation under various penetration and charging schedule scenarios in the State of Qatar. Penetration ratios are obtained from new PEV sales statistics from four different countries, namely Norway, Netherlands, France, and China. Actual 5-min electricity load profiles are used and peak-consumption day is chosen to evaluate the worst-case scenario. The results show that current power generation in Qatar has enough spare capacity to fuel up vehicles, however, uncontrolled PEV charging may require additional peak-power generators if the government goal of 10% PEVs penetration rate is reached. Finally, recommendations for solar-PEV charging is provided by analyzing the actual load and global horizontal irradiance measurements.

  • Item type:Book Section
    ID code:70957
    Dates:
    Date
    Event
    8 August 2019
    Published
    1 June 2019
    Published Online
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:18 Dec 2019 09:41
    Last modified:25 Apr 2024 00:09
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/70957
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