Probabilistic assessment of community-scale vehicle electrification using GPS-based vehicle mobility data : a case study in Qatar
Fan, Fulin and Bayram, I. Safak and Zafar, Usman and Bayhan, Sertac and Stephen, Bruce and Galloway, Stuart (2023) Probabilistic assessment of community-scale vehicle electrification using GPS-based vehicle mobility data : a case study in Qatar. IEEE Open Journal of Vehicular Technology, 4. pp. 796-808. ISSN 2644-1330 (https://doi.org/10.1109/OJVT.2023.3323626)
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Abstract
To avoid the operational consequence of thermal rating exceedance and the financial consequence of excessive reinforcement, the impact of domestic charging of electric vehicles (EVs) on power distribution networks must be accurately assessed prior to accepting vehicle electrification at the community-scale. Although driven by routine, charging behaviour patterns are also influenced by geography, meteorological conditions and season, hence will have a localised element to them that could reduce the diversity of charging load profiles. To model this uncertainty, this article develops a probabilistic methodology to quantify EV home charging demands based on vehicle mobility data and underlying trip characteristics. Models articulate the departure time distribution using a mixture of von Mises distributions, and incorporate non-negative conditional distributions of trip durations, distances and parking durations, which in turn generalise localised charging behaviours. The resulting load profiles are used to drive a community electric network model based on a distribution feeder in Qatar, a country with high per km energy consumption, to quantify impact scenarios of high temperature and driving habit in terms of voltage and thermal stability. Results indicate that overnight domestic charging is sufficient to support daily trips and local networks are capable of hosting high EV penetration despite peaks.
ORCID iDs
Fan, Fulin ORCID: https://orcid.org/0000-0003-2450-6877, Bayram, I. Safak ORCID: https://orcid.org/0000-0001-8130-5583, Zafar, Usman, Bayhan, Sertac, Stephen, Bruce ORCID: https://orcid.org/0000-0001-7502-8129 and Galloway, Stuart ORCID: https://orcid.org/0000-0003-1978-993X;-
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Item type: Article ID code: 86892 Dates: DateEvent23 October 2023Published2 October 2023Accepted23 August 2023SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling Technologies
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 09 Oct 2023 07:22 Last modified: 30 Nov 2024 14:21 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/86892