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dc.contributor.advisorBaldick, Rossen
dc.contributor.committeeMemberGrady, Macken
dc.contributor.committeeMemberKwasinski, Alexisen
dc.contributor.committeeMemberMorton, David P.en
dc.contributor.committeeMemberObadina, Diranen
dc.contributor.committeeMemberWood, Kevinen
dc.creatorLee, Yen-Yu, 1984-en
dc.date.accessioned2012-07-12T14:36:32Zen
dc.date.accessioned2017-05-11T22:25:48Z
dc.date.available2012-07-12T14:36:32Zen
dc.date.available2017-05-11T22:25:48Z
dc.date.issued2012-05en
dc.date.submittedMay 2012en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2012-05-5426en
dc.descriptiontexten
dc.description.abstractThis dissertation proposes new methods to improve the efficiency of electricity markets with respect to market monitoring and reserve allocation. We first present new approaches to monitor the level of competition in electricity markets, a critical task for helping the markets function smoothly. The proposed approaches are based on economic principles and a faithful representation of transmission constraints. The effectiveness of the new approaches is demonstrated by examples based on medium- and large-scale electric power systems. We then propose a new system-operation model using stochastic optimization to systematically allocate reserves under uncertainty. This model aims to overcome the difficulties in both system and market operations caused by the integration of wind power, which results in a higher degree of supply uncertainty. The numerical examples suggest that the proposed model significantly lower the operation costs, especially under high levels of wind penetration.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectElectricity marketsen
dc.subjectMarket poweren
dc.subjectEconomic dispatchen
dc.subjectPower system operationsen
dc.subjectStochastic optimizationen
dc.subjectOperating reservesen
dc.titleImproving electricity market efficiency : from market monitoring to reserve allocationen
dc.description.departmentElectrical and Computer Engineeringen
dc.type.genrethesisen
dc.date.updated2012-07-12T14:36:42Zen
dc.identifier.slug2152/ETD-UT-2012-05-5426en


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