Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Masters Theses
  5. Unit Commitment Methods to Accommodate High Levels of Wind Generation
Details

Unit Commitment Methods to Accommodate High Levels of Wind Generation

Date Issued
August 1, 2011
Author(s)
Melhorn, Alexander Charles
Advisor(s)
Kevin Tomsovic
Additional Advisor(s)
Fangxing Li
Leon Tolbert
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/31248
Abstract

The United State’s renewable portfolio standards call for a large increase of renewable energy and improved conservation efforts over today’s current system. Wind will play a ma jor role in meeting the renewable portfolio standards. As a result, the amount of wind capacity and generation has been growing exponentially over the past 10 to 15 years. The proposed unit commitment method integrates wind energy into a scheduable resource while keeping the formulation simple using mixed integer programming. A reserve constraint is developed and added to unit commitment giving the forecasted wind energy an effective cost. The reserve constraint can be scaled based on the needs of the system: cost, reliability, or the penetration of wind energy. The results show that approximately 24% of the load can be met in the given test system, while keeping a constant reliability before and after wind is introduced. This amount of wind will alone meet many of the renewable portfolio standards in the United States.

Subjects

Unit Commitment

Optimization

Power Systems

Mixed Integer Program...

Disciplines
Power and Energy
Degree
Master of Science
Major
Electrical Engineering
Embargo Date
December 1, 2011
File(s)
Thumbnail Image
Name

my_dissertation.pdf

Size

801.03 KB

Format

Adobe PDF

Checksum (MD5)

28fd14d198473298d393009a6dc80898

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Contact
  • Libraries at University of Tennessee, Knoxville
Repository logo COAR Notify