TY - GEN
T1 - Improving Resiliency in Planning MW-Scale Medium and Heavy Duty EV Charging Stations Considering TSCOTS Optimization
AU - Ponce, Moises
AU - Ostrowski, James
AU - Starke, Michael
AU - Kim, Namwon
AU - Pinto, Joao
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Mixed-integer linear programming (MILP)
KW - electric vehicles (EVs)
KW - fast charging
KW - heavy-duty vehicles
KW - megawatt scale infrastructure
UR - https://www.scopus.com/pages/publications/105015560144
U2 - 10.1109/ITEC63604.2025.11097956
DO - 10.1109/ITEC63604.2025.11097956
M3 - Conference contribution
AN - SCOPUS:105015560144
T3 - 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025
BT - 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025
Y2 - 18 June 2025 through 20 June 2025
ER -