Real-Time Simulation Framework for Coupled Traffic and Power Grid Management During Disaster Scenarios

In the future, transportation systems are likely to be dominated by electric vehicles (EVs). Consequently, the research team expects an increased coupling between transportation networks and power grid networks due to the need for widespread charging infrastructure. This interdependence means that the performance and reliability of one system will directly affect the other. For instance, a surge in EV charging can lead to increased demand on the power grid, while power outages can disrupt transportation by rendering charging stations inoperative. This increased interdependence could become problematic in the event of a disaster or catastrophic event. During such events, system operators must make real-time decisions in an environment in which historical data on travel and charging demand during normal operations are often poor predictors. Moreover, both transportation and electric networks are evolving in real-time due to ongoing failure and recovery events. In this proposal, the research team develops a framework and associated tools to address the challenge of real-time simulation of interconnected transportation and electric grid networks. This will enhance the preparedness of operators at both the city and regional levels during disaster scenarios, enabling them to manage congestion more effectively and ensure a coordinated response across both networks.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01937754
  • Record Type: Research project
  • Source Agency: Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Nov 21 2024 5:11PM