Techno-Economic Analyses of Large-Scale Electric Vehicle Systems

This project has developed computer models to evaluate the techno economic implications of a large-scale electrified transportation sector. The model factors include developing a network of EVs and the electric grid, developing the infrastructure for EV charging, integrating the transportation and power systems into the urban setting, studying the impact of distributed energy storage and determining the economic impact of increased renewable energy and EVs on the electricity grid. The current research focuses upon several innovative aspects of vehicle-to-grid (V2G) charging and grid feedback. Results are presented in four papers. Results show that energy storage and reactive power supplied by EVs through V2G operation can be coordinated to provide voltage support, thus reducing the need of grid reinforcement and active power curtailment and in turn improving EV charging capacity of the overall system. An optimization and control framework is needed to manage energy storage while using the remaining capacity of V2G to generate reactive power and cooperatively perform voltage control. The resilience analyses of power grid with a high level of renewable and EV penetration has been investigated. To present this result, a resiliency index was used that will capture the total loads which cannot be supplied under line removal due to extreme weather conditions. Using this index, a control strategy based on line switching is proposed to minimize the total load shedding and to guarantee the power delivery to critical loads due to line outages. This project and its V2G results have a very broad scope and implications.

Language

  • English

Project

  • Status: Active
  • Funding: $295889.00
  • Contract Numbers:

    DTRT13-G-UTC51

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue
    Washington, DC  United States  20590
  • Project Managers:

    Block, David

  • Performing Organizations:

    University of Central Florida, Orlando

    P.O. Box 25000
    Orlando, FL  United States  32816
  • Principal Investigators:

    Qu, Zhihua

  • Start Date: 20131001
  • Expected Completion Date: 0
  • Actual Completion Date: 20180930
  • Source Data: RiP Project 36196

Subject/Index Terms

Filing Info

  • Accession Number: 01562871
  • Record Type: Research project
  • Source Agency: Electric Vehicle Transportation Center
  • Contract Numbers: DTRT13-G-UTC51
  • Files: UTC, RiP
  • Created Date: May 13 2015 1:00AM