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University of Texas at Austin

Generation reliability modeling and analysis of wind power plants

Abstract

dc:description.abstract

The reliability impact of wind generation is evaluated using a set of reliability modeling and analysis tools implemented with MATLAB. As expected, the addition of wind generation increases the reliability of a power system. However, the extent to which the reliability is increase varies with the wind farm's penetration level. Using the LOLE, it is shown that as more wind generation is added to a power system the increase in reliability diminishes. Nonetheless, wind generators improved the reliability of a power system and deserve to be granted capacity credits. The ELCC method is used to calculate the capacity credit of wind generators. Capacity credits values between 16% and 32% were computed and correlate with the results of comparable studies. Capacity credit of wind farms also diminished with increasing penetration level.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Engineering
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Texas at Austin
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • D'Annunzio, Claudine
Advisor dc:contributor.advisor
  • Santoso, Surya

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:repositories.lib.utexas.edu:2152/75173

Chain of custody

source
Harvested from
University of Texas
Base URL
repositories.lib.utexas.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

D'Annunzio, Claudine. Generation reliability modeling and analysis of wind power plants. Masters thesis, University of Texas at Austin, 2004. https://hdl.handle.net/2152/75173