Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting

Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

18 Citaten (Scopus)
129 Downloads (Pure)

Samenvatting

Charging infrastructure is the coupling link between power and transportation networks, thus determining charging station siting is necessary for planning of power and transportation systems. While previous works have either optimized for charging station siting given historic travel behavior, or optimized fleet routing and charging given an assumed placement of the stations, this paper introduces a linear program that optimizes for station siting and macroscopic fleet operations in a joint fashion. Given an electricity retail rate and a set of travel demand requests, the optimization minimizes total cost for an autonomous EV fleet comprising of travel costs, station procurement costs, fleet procurement costs, and electricity costs, including demand charges. Specifically, the optimization returns the number of charging plugs for each charging rate (e.g., Level 2, DC fast charging) at each candidate location, as well as the optimal routing and charging of the fleet. From a case-study of an electric vehicle fleet operating in San Francisco, our results show that, albeit with range limitations, small EVs with low procurement costs and high energy efficiencies are the most cost-effective in terms of total ownership costs. Furthermore, the optimal siting of charging stations is more spatially distributed than the current siting of stations, consisting mainly of high-power Level 2 AC stations (16.8 kW) with a small share of DC fast charging stations and no standard 7.7kW Level 2 stations. Optimal siting reduces the total costs, empty vehicle travel, and peak charging load by up to 10%.
Originele taal-2Engels
Titel2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's3340-3347
Aantal pagina's8
ISBN van elektronische versie978-1-7281-9142-3
DOI's
StatusGepubliceerd - 25 okt. 2021
Evenement24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021 - Indianapolis, Verenigde Staten van Amerika
Duur: 19 sep. 202122 sep. 2021
Congresnummer: 24

Congres

Congres24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021
Verkorte titelITSC 2021
Land/RegioVerenigde Staten van Amerika
StadIndianapolis
Periode19/09/2122/09/21

Trefwoorden

  • eess.SY
  • cs.MA
  • cs.RO
  • cs.SY

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