Show simple item record

dc.contributor.authorCelebi, Emre
dc.date.accessioned2011-08-29 16:39:39 (GMT)
dc.date.available2011-08-29 16:39:39 (GMT)
dc.date.issued2011-08-29T16:39:39Z
dc.date.submitted2011
dc.identifier.urihttp://hdl.handle.net/10012/6163
dc.description.abstractThis thesis proposes equilibrium models to link the wholesale and retail electricity markets which allow for reconciliation of the differing time scales of responses of producers (e.g., hourly) and consumers (e.g., monthly) to changing prices. Electricity market equilibrium models with time of use (TOU) pricing scheme are formulated as large-scale variational inequality (VI) problems, a unified and concise approach for modeling the equilibrium. The demand response is dynamic in these models through a dependence on the lagged demand. Different market structures are examined within this context. With an illustrative example, the welfare gains/losses are analyzed after an implementation of TOU pricing scheme over the single pricing scheme. An approximation of the welfare change for this analysis is also presented. Moreover, break-up of a large supplier into smaller parts is investigated. For the illustrative examples presented in the dissertation, overall welfare gains for consumers and lower prices closer to the levels of perfect competition can be realized when the retail pricing scheme is changed from single pricing to TOU pricing. These models can be useful policy tools for regulatory bodies i) to forecast future retail prices (TOU or single prices), ii) to examine the market power exerted by suppliers and iii) to measure welfare gains/losses with different retail pricing schemes (e.g., single versus TOU pricing). With the inclusion of linearized DC network constraints into these models, the problem size grows considerably. Dantzig-Wolfe (DW) decomposition algorithm for VI problems is used to alleviate the computational burden and it also facilitates model management and maintenance. Modification of the DW decomposition algorithm and approximation of the DW master problem significantly improve the computational effort required to find the equilibrium. These algorithms are applied to a two-region energy model for Canada and a realistic Ontario electricity test system. In addition to empirical analysis, theoretical results for the convergence properties of the master problem approximation are presented for DW decomposition of VI problems.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectvariational inequality problemen
dc.subjectDantzig-Wolfe decompositionen
dc.subjectelectricity marketsen
dc.subjecttime of use (TOU) pricingen
dc.subjectwelfare analysisen
dc.subjectmarket poweren
dc.subjectdemand responseen
dc.subjectapproximation algorithmen
dc.subjectequilibrium modelingen
dc.titleDecomposition of Variational Inequalities with Applications to Nash-Cournot Models in Time of Use Electricity Marketsen
dc.typeDoctoral Thesisen
dc.pendingfalseen
dc.subject.programManagement Sciencesen
uws-etd.degree.departmentManagement Sciencesen
uws-etd.degreeDoctor of Philosophyen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


UWSpace

University of Waterloo Library
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
519 888 4883

All items in UWSpace are protected by copyright, with all rights reserved.

DSpace software

Service outages