E-Transit-Bench: Simulation Platform for Analyzing Electric Public Transit Bus Fleet Operations

Conference · Tue Jun 28 04:00:00 EDT 2022

DOI:https://doi.org/10.1145/3538637.3539586· OSTI ID:1886812

Sen, Rishav ^[1]; Bharati, Alok Kumar ^[2]; Khaleghian, Seyedmehdi ^[3]; Ghosal, Malini ^[2]; Wilbur, Michael ^[1]; Tran, Toan ^[3]; Pugliese, Philip ^[4]; Sartipi, Mina ^[3]; Neema, Himanshu ^[1]; Dubey, Abhishek ^[1]

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1. Vanderbilt University
2. BATTELLE (PACIFIC NW LAB)
3. University of Tennessee
4. CARTA

When electrified transit systems make grid aware choices, improved social welfare is achieved by scheduling charging at low grid impact locations and times causing reduced loss, minimal power quality issues and reduced grid stress. Electrifying transit fleet has numerous challenges like non availability of buses during charging, varying charging costs, etc., that are related the electric grid behavior. However, transit systems do not have access to the information about the co-evolution of the grid’s power flow and therefore cannot account for the power grid’s needs in its day to day operation. In this paper we propose a framework of transportation-grid cosimulation analyzing the spatio-temporal interaction between the transit operations with electric buses and the power distribution grid. Realworld data for a day’s traffic from Chattanooga city’s transit system is simulated in SUMO and integrated with a realistic distribution grid simulation (using GridLAB-D) to understand the grid impact due to the transit electrification. Charging information is obtained from the transportation simulation to feed into grid simulation to assess the impact of charging. We also discuss the impact to the grid with higher degree of Transit electrification that further necessitates such an integrated Transportation-Grid cosimulation to operate the integrated system optimally. Our future work includes extending the platform for optimizing the charging and trip assignment operations.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1886812
• Report Number(s): PNNL-SA-172194
• Country of Publication: United States
• Language: English

Related Subjects

grid analysis and integration