Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives

Feng Li, Ilhan Kocar, Antoine Lesage-Landry

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper first presents a time-series impact analysis of charging electric vehicles (EVs) to loading levels of power network equipment considering stochasticity in charging habits of EV owners. A novel incentive-based mitigation strategy is then designed to shift the EV charging from the peak hours when the equipment is overloaded to the off-peak hours and maintain equipment service lifetime. The incentive level and corresponding contributions from customers to alter their EV charging habits are determined by a search algorithm and a constrained optimization problem. The strategy is illustrated on a modified version of the IEEE 8500 feeder with a high EV penetration to mitigate overloads on the substation transformer.

Original languageEnglish
Title of host publication2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)9781665464413
DOIs
Publication statusPublished - Sept 2023
Event2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States
Duration: 16 Jul 202320 Jul 2023

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2023-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/TerritoryUnited States
CityOrlando
Period16/07/2320/07/23

Keywords

  • demand response
  • Electric vehicles
  • equipment overload
  • power distribution networks

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives'. Together they form a unique fingerprint.

Cite this