Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost

Mohamed Lotfi; Pedro Pereira; Nikolaos Paterakis; Hossam A. Gabbar; Joao P.S. Catalao

doi:10.1109/EEEIC/ICPSEurope49358.2020.9160687

Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost

Mohamed Lotfi, Pedro Pereira, Nikolaos Paterakis, Hossam A. Gabbar, Joao P.S. Catalao

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

6 Citations (SciVal)

Abstract

Electrification of public transport systems has become a strategic priority due to the highly versatile potential of electric vehicles (EVs) as distributed energy resources (DERs) Despite the logistic ease of transitioning conventional public transport systems to fully-electric ones, the latter must be properly designed to adhere to technical constraints and minimize their total ownership cost (TOC). Most published work addresses this issue with a narrow scope, such as modeling a very specific case study, leading to non-generic models which are difficult to apply for a universal case. In this study, a mixed integer linear programming (MILP) model is formulated to model a generic public transport network, comprising the routes, electric bus models, and charging infrastructures. The objective function minimizes the TOC of a generic network, which can be applied to any universal case study. The constructed model is tested by simulating a system with different routes, bus models, and types of chargers to obtain the optimal configuration of the charging infrastructure.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Editors	Zhigniew Leonowicz
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	978-1-7281-7455-6
DOIs	https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160687
Publication status	Published - Jun 2020
Event	20th IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 - Madrid, Spain Duration: 9 Jun 2020 → 12 Jun 2020

Conference

Conference	20th IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
Country/Territory	Spain
City	Madrid
Period	9/06/20 → 12/06/20

Keywords

Battery Sizing
Electric buses
Mixed-Integer Linear Programming
Optimal Charging Infrastructure

UN SDGs

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

Access to Document

10.1109/EEEIC/ICPSEurope49358.2020.9160687

Cite this

Lotfi, M., Pereira, P., Paterakis, N., Gabbar, H. A., & Catalao, J. P. S. (2020). Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost. In Z. Leonowicz (Ed.), Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) [9160687] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160687

Lotfi, Mohamed ; Pereira, Pedro ; Paterakis, Nikolaos et al. / Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost. Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). editor / Zhigniew Leonowicz. Institute of Electrical and Electronics Engineers, 2020.

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title = "Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost",

abstract = "Electrification of public transport systems has become a strategic priority due to the highly versatile potential of electric vehicles (EVs) as distributed energy resources (DERs) Despite the logistic ease of transitioning conventional public transport systems to fully-electric ones, the latter must be properly designed to adhere to technical constraints and minimize their total ownership cost (TOC). Most published work addresses this issue with a narrow scope, such as modeling a very specific case study, leading to non-generic models which are difficult to apply for a universal case. In this study, a mixed integer linear programming (MILP) model is formulated to model a generic public transport network, comprising the routes, electric bus models, and charging infrastructures. The objective function minimizes the TOC of a generic network, which can be applied to any universal case study. The constructed model is tested by simulating a system with different routes, bus models, and types of chargers to obtain the optimal configuration of the charging infrastructure.",

keywords = "Battery Sizing, Electric buses, Mixed-Integer Linear Programming, Optimal Charging Infrastructure",

author = "Mohamed Lotfi and Pedro Pereira and Nikolaos Paterakis and Gabbar, {Hossam A.} and Catalao, {Joao P.S.}",

year = "2020",

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editor = "Zhigniew Leonowicz",

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Lotfi, M, Pereira, P, Paterakis, N, Gabbar, HA & Catalao, JPS 2020, Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost. in Z Leonowicz (ed.), Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)., 9160687, Institute of Electrical and Electronics Engineers, 20th IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020, Madrid, Spain, 9/06/20. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160687

Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost. / Lotfi, Mohamed; Pereira, Pedro; Paterakis, Nikolaos et al.
Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). ed. / Zhigniew Leonowicz. Institute of Electrical and Electronics Engineers, 2020. 9160687.

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

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AU - Pereira, Pedro

AU - Paterakis, Nikolaos

AU - Gabbar, Hossam A.

AU - Catalao, Joao P.S.

PY - 2020/6

Y1 - 2020/6

N2 - Electrification of public transport systems has become a strategic priority due to the highly versatile potential of electric vehicles (EVs) as distributed energy resources (DERs) Despite the logistic ease of transitioning conventional public transport systems to fully-electric ones, the latter must be properly designed to adhere to technical constraints and minimize their total ownership cost (TOC). Most published work addresses this issue with a narrow scope, such as modeling a very specific case study, leading to non-generic models which are difficult to apply for a universal case. In this study, a mixed integer linear programming (MILP) model is formulated to model a generic public transport network, comprising the routes, electric bus models, and charging infrastructures. The objective function minimizes the TOC of a generic network, which can be applied to any universal case study. The constructed model is tested by simulating a system with different routes, bus models, and types of chargers to obtain the optimal configuration of the charging infrastructure.

AB - Electrification of public transport systems has become a strategic priority due to the highly versatile potential of electric vehicles (EVs) as distributed energy resources (DERs) Despite the logistic ease of transitioning conventional public transport systems to fully-electric ones, the latter must be properly designed to adhere to technical constraints and minimize their total ownership cost (TOC). Most published work addresses this issue with a narrow scope, such as modeling a very specific case study, leading to non-generic models which are difficult to apply for a universal case. In this study, a mixed integer linear programming (MILP) model is formulated to model a generic public transport network, comprising the routes, electric bus models, and charging infrastructures. The objective function minimizes the TOC of a generic network, which can be applied to any universal case study. The constructed model is tested by simulating a system with different routes, bus models, and types of chargers to obtain the optimal configuration of the charging infrastructure.

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M3 - Conference contribution

AN - SCOPUS:85090425318

BT - Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

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PB - Institute of Electrical and Electronics Engineers

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ER -

Lotfi M, Pereira P, Paterakis N, Gabbar HA, Catalao JPS. Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost. In Leonowicz Z, editor, Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). Institute of Electrical and Electronics Engineers. 2020. 9160687 doi: 10.1109/EEEIC/ICPSEurope49358.2020.9160687

Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost

Abstract

Conference

Keywords

UN SDGs

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