Improving Resiliency in Planning MW-Scale Medium and Heavy Duty EV Charging Stations Considering TSCOTS Optimization

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

Abstract

Electrification of heavy-duty (HD) vehicles marks an important milestone and technical challenge in the electric vehicle (EV) industry and the public grid. However, implementing EV charging at this scale will necessitate that traditional truck stops be updated with EV charging infrastructure that could represent 10's of MW in electricity consumption. Furthermore, as the transportation sector is represented as critical infrastructure, supporting resiliency considerations in EV charging infrastructure will be critical. This paper proposes an optimization-based approach for optimally designing a MW-scale microgrid charging network. This approach transforms conventional designed truck stops into a reliable HDEV charging stations capable of overnight slow charging and 30-minute to 1 hour fast charging. Using a mixed-integer linear program formulation blending capacity planning and reliability constraints, an optimal network configuration can be solved for a proposed EV charging station that includes photovoltaic and battery energy storage capabilities.

Original languageEnglish
Title of host publication2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331522148
DOIs
StatePublished - 2025
Event2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025 - Anaheim, United States
Duration: Jun 18 2025Jun 20 2025

Publication series

Name2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025

Conference

Conference2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025
Country/TerritoryUnited States
CityAnaheim
Period06/18/2506/20/25

Keywords

  • Mixed-integer linear programming (MILP)
  • electric vehicles (EVs)
  • fast charging
  • heavy-duty vehicles
  • megawatt scale infrastructure

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