Strategic behavior analysis in electricity markets

dc.contributor.advisorBaldick, Ross
dc.creatorSon, You Seoken
dc.description.abstractStrategic behaviors in electricity markets are analyzed. Three related topics are investigated. The first topic is a research about the NE search algorithm for complex non-cooperative games in electricity markets with transmission constraints. Hybrid co-evolutionary programming is suggested and simulated for complex examples. The second topic is an analysis about the competing pricing mechanisms of uniform and pay-as-bid pricing in an electricity market. We prove that for a two-player static game the Nash Equilibrium under pay-as-bid pricing will yield less total revenue in expectation than under uniform pricing when demand is inelastic. The third topic is to address a market power mitigation issue of the current Texas electricity market by limiting Transmission Congestion Right (TCR) ownership. The strategic coordination of inter zonal scheduling and balancing market manipulation is analyzed. A market power measurement algorithm useful to determine the proper level of TCR ownership limitation is suggested.en
dc.description.departmentElectrical and Computer Engineeringen
dc.rightsCopyright 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.en
dc.subjectStrategic behaviorsen
dc.subjectElectricity marketsen
dc.subjectNE search algorithmen
dc.subjectHybrid co-evolutionary programmingen
dc.subjectCompeting pricing mechanismsen
dc.subjectPay-as-bid pricingen
dc.subjectNash Equilibriumen
dc.subjectTransmission Congestion Righten
dc.titleStrategic behavior analysis in electricity marketsen
dc.typeThesisen and Computer Engineeringen and Computer Engineeringen University of Texas at Austinen of Philosophyen

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