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 proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
EditorsZhigniew Leonowicz
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-7281-7455-6
DOIs
Publication statusPublished - Jun 2020
Event2020 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 202012 Jun 2020

Conference

Conference2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
CountrySpain
CityMadrid
Period9/06/2012/06/20

Keywords

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

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