Unit commitment : tight formulation and pricing

dc.contributor.advisorBaldick, Ross
dc.contributor.committeeMemberBard, Jonathan
dc.contributor.committeeMemberCaramanis, Constantine
dc.contributor.committeeMemberZhu, Hao
dc.creatorHua, Bowen
dc.creator.orcid0000-0003-0188-1834
dc.date.accessioned2019-04-04T15:31:57Z
dc.date.available2019-04-04T15:31:57Z
dc.date.created2018-12
dc.date.issued2019-01-25
dc.date.submittedDecember 2018
dc.date.updated2019-04-04T15:31:57Z
dc.description.abstractIn recent years, with increasing renewable supply variability, thermal power plants have started up and shut down more frequently. These discrete commitment decisions, optimized in the unit commitment (UC) problem, have an impact on system operations as well as generation expansion planning (GEP). The non-convex costs associated with the commitment decisions may also lead to generators' incentive to deviate from the optimal dispatch under locational marginal prices. In this dissertation, we first propose a convex relaxation of UC based on a primal formulation of the Lagrangian dual problem. This convex relaxation is used (i) to solve the convex hull pricing problem in polynomial time, providing prices with better incentives in non-convex electricity markets, and (ii) to construct a computationally efficient GEP model that represents operational flexibility limits. Next, we present a tight formulation for the commitment of combined-cycle units with representation of their transition ramping. Finally, we propose a pricing method that reduces out-of-market payments in multi-interval real-time markets.
dc.description.departmentElectrical and Computer Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/74153
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/1284
dc.language.isoen
dc.subjectUnit commitment
dc.subjectElectricity markets
dc.subjectCombined-cycle power plants
dc.subjectPower system economics
dc.titleUnit commitment : tight formulation and pricing
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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