Impact of electric vehicles on low-voltage residential distribution networks: A probabilistic analysis

Matthias Hungbo, Mingchen Gu, Lasantha Meegahapola, Timothy Littler, Siqi Bu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The past two decades have seen a rapid increase in electric vehicles (EVs) for several reasons, such as policy directives to reduce carbon emissions in the transport sector and technology advancements in the EV industry. However, this has increased the load demand on the power grid, especially in the low-voltage (LV) network, as most EVs are charged at EV owner premises. This paper investigates the impact of EVs on the LV residential distribution network using a probabilistic modelling framework. Probability distribution functions for EV charging power are derived using the United Kingdom (UK) EV dataset. The study has investigated multiple EV penetration levels, different probability distribution functions for EV charging representation, vehicle-to-grid (V2G), solar photovoltaic (PV) generation, and the volt-var capability of the solar-PV inverter. The results have shown that as EV penetration increases in the distribution network, there is a significant increase in transformer loading and a decrease in the steady-state voltage levels. V2G has positively impacted the distribution network. A case study carried out on a real LV feeder with solar-PV generation has shown how PV generation and volt-var functionality of the PV inverter help reduce the impact of EV charging and V2G.

Original languageEnglish
Pages (from-to)536-548
Number of pages13
JournalIET Smart Grid
Volume6
Issue number5
DOIs
Publication statusPublished - Oct 2023

Keywords

  • distribution network
  • electric vehicle
  • electric vehicle charging
  • probabilistic analysis
  • solar power stations
  • vehicle-to-grid (V2G)
  • volt-varcontrol
  • voltage control
  • voltage unbalance

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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