Sonder, Hasan Berkem, Mudaheranwa, Emmanuel and Cipcigan, Liana  ORCID: https://orcid.org/0000-0002-5015-3334
2022.
Estimation of cable and transformer loading with electric vehicles and battery energy storage units.
Presented at: IEEE 7th International Energy Conference (ENERGYCON),
Riga, Latvia,
9-12 May 2022.
Conference Proceedings IEEE 7th International Energy Conference (ENERGYCON).
IEEE,
10.1109/ENERGYCON53164.2022.9830344
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Abstract
Electric Vehicles (EVs) have been identified as a significant solution for reducing carbon emissions from the transportation sector by replacing internal combustion engine vehicles. EVs improve air quality, resulting in yearly carbon emissions reductions of up to 1.5 gigatons. The establishment of a prominent EV market and the construction of a robust charging infrastructure are critical components for the success of electromobility. Slow, fast, and rapid chargers may all be used to charge EVs. Rapid chargers draw large quantities of energy from the grid within a short period of time. If a significant number of rapid chargers are used concurrently during the network’s peak load, for example, network may be subjected to critical conditions. Using Deno runtime based on the JavaScript programming language, this paper presents an algorithm for estimating the energy consumption and demand of common EV models capable of rapid charging. The PSCAD/EMTDC is also used to analyse the effect of chargers on distribution cable and substation transformer loading. The paper’s findings show that battery energy storage units may be used to reduce the loading on the distribution cables and transformers.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Engineering |
| Publisher: | IEEE |
| ISBN: | 9781665479837 |
| Last Modified: | 06 Jan 2024 02:17 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/151603 |
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