Impact of Electric Vehicle Routing with Stochastic Demand on Grid Operation

Oluwaseun Oladimeji, Alvaro Gonzalez-Castellanos, David Pozo, Yury Dvorkin, Samrat Acharya

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Given the rise of electric vehicle (EV) adoption, supported by government policies and dropping technology prices, new challenges arise in the modeling and operation of electric transportation. In this paper, we present a model for solving the EV routing problem while accounting for real-life stochastic demand behavior. We present a mathematical formulation that minimizes travel time and energy costs of a EV fleet. The EV is represented by a battery energy consumption model. To adapt our formulation to real-life scenarios, customer pick-ups and drop-offs were modeled as stochastic parameters. A chance-constrained optimization model is proposed for addressing pick-ups and drop-offs uncertainties. Computational validation of the model is provided based on representative transportation scenarios. Results obtained showed a quick convergence of our model with verifiable solutions. Finally, the impact of electric vehicles charging is validated in Downtown Manhattan, New York by assessing the effect on the distribution grid.

Original languageEnglish (US)
Title of host publication2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665435970
StatePublished - Jun 28 2021
Event2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain
Duration: Jun 28 2021Jul 2 2021

Publication series

Name2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings


Conference2021 IEEE Madrid PowerTech, PowerTech 2021


  • Chance-constrained optimization
  • Electric vehicle
  • Vehicle routing problem

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment


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