{"id":{"repo_id":"texas","oai_identifier":"oai:repositories.lib.utexas.edu:2152/75173"},"canonical_url":"https://search.dev.ndltd.org/etd/texas/oai:repositories.lib.utexas.edu:2152/75173","repository":{"repo_id":"texas","name":"University of Texas","base_url":"https://repositories.lib.utexas.edu/server/oai/request"},"display":{"title":"Generation reliability modeling and analysis of wind power plants","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.","abstract_html":"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.","abstract_has_math":false,"creators":["D'Annunzio, Claudine"],"institution":"University of Texas at Austin","degree_name":"Master of Science in Engineering","degree_level":"Masters","degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Santoso, Surya"],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004-08-16","date_published":"2004-08-16","updated_at":"2026-07-24T05:01:18Z","subjects":["Wind generation","Capacity credit","Reliability modeling"],"languages":["eng"],"rights":["Copyright © is held by the author. 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