A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure

Paul Brown; Marcello Contestabile; Raka Jovanovic

doi:10.1007/978-3-030-68527-0_19

A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure

Paul Brown, Marcello Contestabile, Raka Jovanovic^*

^*Corresponding author for this work

Imperial College London

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

2 Citations (Scopus)

Abstract

In recent years there has been a growing interest in the use of electric vehicles. This has resulted in the need to develop the necessary charging infrastructure. In this paper, the issue of optimizing the locations and capacity of charging stations is analyzed through the evaluation of its expansion. This is achieved using a model based on a mixed integer program. Since this is a highly practical problem, one of the main focuses of this work is in using real world data like population density and the state of the electrical distribution system. An efficient approach is proposed for acquiring such data and its integration into the model. The developed model is used for evaluating the expansion of EV charging infrastructure for the cities of Doha and San Francisco.

Original language	English
Title of host publication	Modelling and Development of Intelligent Systems - 7th International Conference, MDIS 2020, Revised Selected Papers
Editors	Dana Simian, Laura Florentina Stoica
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	302-314
Number of pages	13
ISBN (Print)	9783030685263
DOIs	https://doi.org/10.1007/978-3-030-68527-0_19
Publication status	Published - 2021
Event	7th International Conference on Modelling and Development of Intelligent Systems, MDIS 2020 - Sibiu, Romania Duration: 22 Oct 2020 → 24 Oct 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1341
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th International Conference on Modelling and Development of Intelligent Systems, MDIS 2020
Country/Territory	Romania
City	Sibiu
Period	22/10/20 → 24/10/20

Keywords

Charging infrastructure
Electrical vehicles
Mixed integer programming

Access to Document

10.1007/978-3-030-68527-0_19

Cite this

Brown, P., Contestabile, M., & Jovanovic, R. (2021). A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure. In D. Simian, & L. F. Stoica (Eds.), Modelling and Development of Intelligent Systems - 7th International Conference, MDIS 2020, Revised Selected Papers (pp. 302-314). (Communications in Computer and Information Science; Vol. 1341). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-68527-0_19

Brown, Paul ; Contestabile, Marcello ; Jovanovic, Raka. / A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure. Modelling and Development of Intelligent Systems - 7th International Conference, MDIS 2020, Revised Selected Papers. editor / Dana Simian ; Laura Florentina Stoica. Springer Science and Business Media Deutschland GmbH, 2021. pp. 302-314 (Communications in Computer and Information Science).

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abstract = "In recent years there has been a growing interest in the use of electric vehicles. This has resulted in the need to develop the necessary charging infrastructure. In this paper, the issue of optimizing the locations and capacity of charging stations is analyzed through the evaluation of its expansion. This is achieved using a model based on a mixed integer program. Since this is a highly practical problem, one of the main focuses of this work is in using real world data like population density and the state of the electrical distribution system. An efficient approach is proposed for acquiring such data and its integration into the model. The developed model is used for evaluating the expansion of EV charging infrastructure for the cities of Doha and San Francisco.",

keywords = "Charging infrastructure, Electrical vehicles, Mixed integer programming",

author = "Paul Brown and Marcello Contestabile and Raka Jovanovic",

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Brown, P, Contestabile, M & Jovanovic, R 2021, A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure. in D Simian & LF Stoica (eds), Modelling and Development of Intelligent Systems - 7th International Conference, MDIS 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1341, Springer Science and Business Media Deutschland GmbH, pp. 302-314, 7th International Conference on Modelling and Development of Intelligent Systems, MDIS 2020, Sibiu, Romania, 22/10/20. https://doi.org/10.1007/978-3-030-68527-0_19

A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure. / Brown, Paul; Contestabile, Marcello ; Jovanovic, Raka.
Modelling and Development of Intelligent Systems - 7th International Conference, MDIS 2020, Revised Selected Papers. ed. / Dana Simian; Laura Florentina Stoica. Springer Science and Business Media Deutschland GmbH, 2021. p. 302-314 (Communications in Computer and Information Science; Vol. 1341).

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

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AU - Brown, Paul

AU - Contestabile, Marcello

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N2 - In recent years there has been a growing interest in the use of electric vehicles. This has resulted in the need to develop the necessary charging infrastructure. In this paper, the issue of optimizing the locations and capacity of charging stations is analyzed through the evaluation of its expansion. This is achieved using a model based on a mixed integer program. Since this is a highly practical problem, one of the main focuses of this work is in using real world data like population density and the state of the electrical distribution system. An efficient approach is proposed for acquiring such data and its integration into the model. The developed model is used for evaluating the expansion of EV charging infrastructure for the cities of Doha and San Francisco.

AB - In recent years there has been a growing interest in the use of electric vehicles. This has resulted in the need to develop the necessary charging infrastructure. In this paper, the issue of optimizing the locations and capacity of charging stations is analyzed through the evaluation of its expansion. This is achieved using a model based on a mixed integer program. Since this is a highly practical problem, one of the main focuses of this work is in using real world data like population density and the state of the electrical distribution system. An efficient approach is proposed for acquiring such data and its integration into the model. The developed model is used for evaluating the expansion of EV charging infrastructure for the cities of Doha and San Francisco.

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KW - Electrical vehicles

KW - Mixed integer programming

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Brown P, Contestabile M , Jovanovic R. A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure. In Simian D, Stoica LF, editors, Modelling and Development of Intelligent Systems - 7th International Conference, MDIS 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 302-314. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-68527-0_19

A Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure

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