Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives

Feng Li; Ilhan Kocar; Antoine Lesage-Landry

doi:10.1109/PESGM52003.2023.10252605

Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives

Feng Li
, Ilhan Kocar
, Antoine Lesage-Landry

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781665464413
DOIs	https://doi.org/10.1109/PESGM52003.2023.10252605
Publication status	Published - Sept 2023
Event	2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States Duration: 16 Jul 2023 → 20 Jul 2023

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2023-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/Territory	United States
City	Orlando
Period	16/07/23 → 20/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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

More information

10.1109/PESGM52003.2023.10252605

Cite this

@inproceedings{855987891ea048a08dba64b9f8ddb33e,

title = "Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives",

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.",

keywords = "demand response, Electric vehicles, equipment overload, power distribution networks",

author = "Feng Li and Ilhan Kocar and Antoine Lesage-Landry",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 ; Conference date: 16-07-2023 Through 20-07-2023",

year = "2023",

month = sep,

doi = "10.1109/PESGM52003.2023.10252605",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

pages = "1--5",

booktitle = "2023 IEEE Power and Energy Society General Meeting, PESGM 2023",

address = "United States",

}

Li, F, Kocar, I & Lesage-Landry, A 2023, Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives. in 2023 IEEE Power and Energy Society General Meeting, PESGM 2023., 10252605, IEEE Power and Energy Society General Meeting, vol. 2023-July, IEEE Computer Society, pp. 1-5, 2023 IEEE Power and Energy Society General Meeting, PESGM 2023, Orlando, United States, 16/07/23. https://doi.org/10.1109/PESGM52003.2023.10252605

Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives. / Li, Feng; Kocar, Ilhan; Lesage-Landry, Antoine.
2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Computer Society, 2023. p. 1-5 10252605 (IEEE Power and Energy Society General Meeting; Vol. 2023-July).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives

AU - Li, Feng

AU - Kocar, Ilhan

AU - Lesage-Landry, Antoine

PY - 2023/9

Y1 - 2023/9

N2 - 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.

AB - 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.

KW - demand response

KW - Electric vehicles

KW - equipment overload

KW - power distribution networks

UR - https://www.scopus.com/pages/publications/85174677103

U2 - 10.1109/PESGM52003.2023.10252605

DO - 10.1109/PESGM52003.2023.10252605

M3 - Conference article published in proceeding or book

AN - SCOPUS:85174677103

T3 - IEEE Power and Energy Society General Meeting

SP - 1

EP - 5

BT - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023

PB - IEEE Computer Society

T2 - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023

Y2 - 16 July 2023 through 20 July 2023

ER -

Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this