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Cited by 5Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric Power System Optimization

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Day-ahead Multistage Stochastic Optimization of a Group of Electric Vehicle Charging Stations

Orozco, Camilo, Borghetti, Alberto, Napolitano, Fabio, Tossani, Fabio·2021·2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
DOI 10.1109/cpe-powereng50821.2021.9501228
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Abstract

This paper deals with the day-ahead optimal scheduling of a parking lot with several bidirectional charging stations for plug-in electric vehicles (EVs), part of a grid-connected system including also a photovoltaic (PV) generating unit and local loads. In the proposed approach, a central dispatching unit implements a multistage stochastic optimization to obtain the day-ahead scheduling of the charging stations considering the uncertainties associated with PV generation, non-dispatchable loads and the connected electric vehicles. The scenario tree is built by means of a reduction technique based on k-medoids so that all the representative scenarios included in the tree are feasible. The objective is the minimization of the expected daily procurement costs, exploiting the Vehicle-to-Grid (V2G) services provided by the parking lot. The performance of the procedure is assessed by using different case studies.

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Research works printed but not linked: 15

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  8. 10.1049/iet-stg.2018.0053 · DOI
  9. 10.1109/EVER48776.2020.9242991 · DOI
  10. 10.1109/TSG.2018.2820026 · DOI
  11. 10.1016/j.jclepro.2019.119886 · DOI
  12. 10.1109/TVT.2013.2295591 · DOI
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  14. 10.1016/j.rser.2021.111115 · DOI
  15. 10.1016/j.epsr.2020.106695 · DOI

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Metadata

Authors
Orozco, C., Borghetti, A., Napolitano, F., & Tossani, F.
Affiliations
University of Bologna (IT)
ORCID
Venue
2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Publisher
IEEE
Published
2021-07-14
Pages
1-8
DOI
10.1109/cpe-powereng50821.2021.9501228
OpenAlex
W3189377383
Cited by
5
References
0
Citations by year
2025: 1 · 2024: 1 · 2023: 3
FWCI
1.57
Type
conference paper
Language
en
Open access
closed
Licence
Locations
  • IEEE International Conference on Compatibility, Power Electronics and Power Engineering (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
Funders
European Regional Development Fund (CUP E31F18001040007)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords
electric vehicle charging stations, day-ahead scheduling, multistage stochastic programming, vehicle-to-grid, photovoltaic uncertainty, scenario tree reduction, K-medoids clustering, grid-connected systems

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CoChat. (2026). Citation check: Day-ahead Multistage Stochastic Optimization of a Group of Electric Vehicle Charging Stations. https://app.cochat.ai/papers/10.1109/cpe-powereng50821.2021.9501228
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Orozco, C., Borghetti, A., Napolitano, F., & Tossani, F. (2021). Day-ahead Multistage Stochastic Optimization of a Group of Electric Vehicle Charging Stations. 2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). https://doi.org/10.1109/cpe-powereng50821.2021.9501228