Grid-Aware Charging and Operational Optimization for Mixed-Fleet Public Transit

Conference · Tue Sep 24 04:00:00 EDT 2024

DOI:https://doi.org/10.1109/ITSC58415.2024.10920218· OSTI ID:2583687

Sen, Rishav; Sivagnanam, Amutheezan; Laszka, Aron; Mukhopadhyay, Ayan; Dubey, Abhishek

The rapid growth of urban populations and the increasing need for sustainable transportation solutions have prompted a shift towards electric buses in public transit systems. However, the effective management of mixed fleets consisting of both electric and diesel buses poses significant operational challenges. One major challenge is coping with dynamic electricity pricing, where charging costs vary throughout the day. Transit agencies must optimize charging assignments in response to such dynamism while accounting for secondary considerations such as seating constraints. This paper presents a comprehensive mixed-integer linear programming (MILP) model to address these challenges by jointly optimizing charging schedules and trip assignments for mixed (electric and diesel bus) fleets while considering factors such as dynamic electricity pricing, vehicle capacity, and route constraints. We address the potential computational intractability of the MILP formulation, which can arise even with relatively small fleets, by employing a hierarchical approach tailored to the fleet composition. By using real-world data from the city of Chattanooga, Tennessee, USA, we show that our approach can result in significant savings in the operating costs of the mixed transit fleets.

• Research Organization: National Energy Technology Laboratory; Vanderbilt University; Pennsylvania State University
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: EE0009212
• OSTI ID: 2583687
• Resource Type: Conference paper
• Conference Information: The 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024) is the annual flagship conference sponsored by the IEEE Intelligent Transportation Systems Society (ITSS). It includes various invited sessions, workshops, tutorials, and regular paper submissions. The conference welcomes articles and presentations in the field of Intelligent Transportation Systems (ITS), conveying new developments in theory, analytical and numerical (including high-fidelity) simulations, modeling, experimentation, advanced deployment and case studies, and results of laboratory or field operational tests. IEEE ITSC 2024 particularly invites and encourages prospective authors to share their recent work, findings, perspectives, and developments as related to implementation and deployment of advanced ITS applications. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.
• Country of Publication: United States
• Language: English