Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences

Mailys Le Cam; M. Alparslan Zehir; Barry Hayes

doi:10.1109/PowerTech46648.2021.9495016

Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences

Mailys Le Cam
, M. Alparslan Zehir
, Barry Hayes

Institut polytechnique de Grenoble

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

This paper presents a two-step optimisation approach for Electric Vehicle (EV) charger scheduling in residential distribution networks, with the objective of hosting the maximum number of EVs without violating network constraints, while simultaneously satisfying individual residential customer preferences for EV charging hours. The effectiveness of this approach is examined using two detailed case studies of residential distribution networks with high EV penetrations. The results obtained indicate that it was possible to maintain the network within its operating limits while fulfilling most of the customer charging preferences. This suggests that simple, offline control schemes can be very effective in managing EV charging demand in residential LV networks. However, the effectiveness of such an approach varies according to the network design and topology.

Original language	English
Title of host publication	2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665435970
DOIs	https://doi.org/10.1109/PowerTech46648.2021.9495016
Publication status	Published - 28 Jun 2021
Externally published	Yes
Event	2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021

Publication series

Name	2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Conference

Conference	2021 IEEE Madrid PowerTech, PowerTech 2021
Country/Territory	Spain
City	Madrid
Period	28/06/21 → 2/07/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

electric vehicles
EV charger scheduling
low-voltage distribution networks
power distribution

Access to Document

10.1109/PowerTech46648.2021.9495016

Cite this

Cam, M. L., Alparslan Zehir, M., & Hayes, B. (2021). Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences. In 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings Article 9495016 (2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerTech46648.2021.9495016

Cam, Mailys Le ; Alparslan Zehir, M. ; Hayes, Barry. / Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences. 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings).

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title = "Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences",

abstract = "This paper presents a two-step optimisation approach for Electric Vehicle (EV) charger scheduling in residential distribution networks, with the objective of hosting the maximum number of EVs without violating network constraints, while simultaneously satisfying individual residential customer preferences for EV charging hours. The effectiveness of this approach is examined using two detailed case studies of residential distribution networks with high EV penetrations. The results obtained indicate that it was possible to maintain the network within its operating limits while fulfilling most of the customer charging preferences. This suggests that simple, offline control schemes can be very effective in managing EV charging demand in residential LV networks. However, the effectiveness of such an approach varies according to the network design and topology.",

keywords = "electric vehicles, EV charger scheduling, low-voltage distribution networks, power distribution",

author = "Cam, \{Mailys Le\} and \{Alparslan Zehir\}, M. and Barry Hayes",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021",

year = "2021",

month = jun,

day = "28",

doi = "10.1109/PowerTech46648.2021.9495016",

language = "English",

series = "2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Cam, ML, Alparslan Zehir, M & Hayes, B 2021, Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences. in 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings., 9495016, 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Madrid PowerTech, PowerTech 2021, Madrid, Spain, 28/06/21. https://doi.org/10.1109/PowerTech46648.2021.9495016

Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences. / Cam, Mailys Le; Alparslan Zehir, M.; Hayes, Barry.
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. 9495016 (2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences

AU - Cam, Mailys Le

AU - Alparslan Zehir, M.

AU - Hayes, Barry

PY - 2021/6/28

Y1 - 2021/6/28

N2 - This paper presents a two-step optimisation approach for Electric Vehicle (EV) charger scheduling in residential distribution networks, with the objective of hosting the maximum number of EVs without violating network constraints, while simultaneously satisfying individual residential customer preferences for EV charging hours. The effectiveness of this approach is examined using two detailed case studies of residential distribution networks with high EV penetrations. The results obtained indicate that it was possible to maintain the network within its operating limits while fulfilling most of the customer charging preferences. This suggests that simple, offline control schemes can be very effective in managing EV charging demand in residential LV networks. However, the effectiveness of such an approach varies according to the network design and topology.

AB - This paper presents a two-step optimisation approach for Electric Vehicle (EV) charger scheduling in residential distribution networks, with the objective of hosting the maximum number of EVs without violating network constraints, while simultaneously satisfying individual residential customer preferences for EV charging hours. The effectiveness of this approach is examined using two detailed case studies of residential distribution networks with high EV penetrations. The results obtained indicate that it was possible to maintain the network within its operating limits while fulfilling most of the customer charging preferences. This suggests that simple, offline control schemes can be very effective in managing EV charging demand in residential LV networks. However, the effectiveness of such an approach varies according to the network design and topology.

KW - electric vehicles

KW - EV charger scheduling

KW - low-voltage distribution networks

KW - power distribution

UR - https://www.scopus.com/pages/publications/85112382983

U2 - 10.1109/PowerTech46648.2021.9495016

DO - 10.1109/PowerTech46648.2021.9495016

M3 - Conference proceeding

AN - SCOPUS:85112382983

T3 - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

BT - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Madrid PowerTech, PowerTech 2021

Y2 - 28 June 2021 through 2 July 2021

ER -

Cam ML, Alparslan Zehir M, Hayes B. Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences. In 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. 9495016. (2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings). doi: 10.1109/PowerTech46648.2021.9495016

Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences

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UN SDGs

Keywords

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