Why This Matters

As public transit agencies transition to electric buses, understanding the impact on power infrastructure is critical for cost-effective planning and grid stability. This work is significant because it provides an integrated modeling framework that captures complex interactions between transit operations and grid dynamics. The co-simulation approach enables analysis of various electrification strategies and their grid impacts.

What We Did

This paper presents E-TRANSIT-BENCH, a simulation platform for analyzing the impact of electric vehicle charging on power grid operations in public transit systems. The framework integrates transit simulation with power grid modeling using SUMO and GridLAB-D co-simulation. The system enables detailed analysis of how bus electrification affects grid stability, load distribution, and charging infrastructure requirements.

Key Results

The simulation platform demonstrated how different charging strategies significantly affect grid load profiles and voltage stability. The analysis identified optimal charging station locations that minimize grid stress while supporting transit schedules. The framework enabled evaluation of various battery capacities, charging rates, and scheduling strategies to inform infrastructure planning decisions.

Full Abstract

Cite This Paper

@inproceedings{rishav2022eEnergy,
  author = {Sen, Rishav and Bharati, Alok Kumar and Khaleghian, Seyedmehdi and Ghosal, Malini and Wilbur, Michael and Tran, Toan and Pugliese, Philip and Sartipi, Mina and Neema, Himanshu and Dubey, Abhishek},
  booktitle = {Proceedings of the Thirteenth ACM International Conference on Future Energy Systems},
  title = {E-Transit-Bench: Simulation Platform for Analyzing Electric Public Transit Bus Fleet Operations},
  year = {2022},
  address = {New York, NY, USA},
  pages = {532–541},
  publisher = {Association for Computing Machinery},
  series = {e-Energy '22},
  abstract = {When electrified transit systems make grid aware choices, improved social welfare is achieved by reducing grid stress, reducing system loss, and minimizing power quality issues. Electrifying transit fleet has numerous challenges like non availability of buses during charging, varying charging costs and so on, 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 co-simulation, analyzing the spatio-temporal interaction between the transit operations with electric buses and the power distribution grid. Real-world 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 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 co-simulation to operate the integrated system optimally. Our future work includes extending the platform for optimizing the charging and trip assignment operations.},
  contribution = {lead},
  doi = {10.1145/3538637.3539586},
  isbn = {9781450393973},
  keywords = {electric vehicles, power grid, transit simulation, charging optimization, grid impact analysis},
  location = {Virtual Event},
  numpages = {10},
  url = {https://doi.org/10.1145/3538637.3539586}
}
Quick Info
Year 2022
Series e-Energy '22
Keywords
electric vehicles power grid transit simulation charging optimization grid impact analysis
Research Areas
energy transit CPS
Search Tags

Transit, Bench, Simulation, Platform, Analyzing, Electric, Public, Fleet, Operations, electric vehicles, power grid, transit simulation, charging optimization, grid impact analysis, energy, transit, CPS, 2022, Sen, Bharati, Khaleghian, Ghosal, Wilbur, Tran, Pugliese, Sartipi, Neema, Dubey, e-Energy22