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Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties

  • David A. Sanchez
  • , Santiago P. Torres
  • , Jose E. Chillogalli
  • , Harold R. Chamorro
  • , Luis G. Gonzalez
  • , Vijay K. Sood
  • , Ruben R. Romero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs' parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.

Original languageEnglish
Title of host publicationProceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
PublisherIEEE Computer Society
ISBN (Electronic)9781665480321
DOIs
StatePublished - 2022
Event2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 - Novi Sad, Serbia
Duration: 10 Oct 202212 Oct 2022

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
Volume2022-October

Conference

Conference2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
Country/TerritorySerbia
CityNovi Sad
Period10/10/2212/10/22

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Electric Vehicles
  • Monte Carlo simulation
  • optimization energy Exchange
  • time-of-use tariffs

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