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dc.contributor.advisorGrijalva, Santiago
dc.contributor.authorHubert, Tanguy F
dc.date.accessioned2016-05-27T13:10:57Z
dc.date.available2016-05-27T13:10:57Z
dc.date.created2015-05
dc.date.issued2015-04-06
dc.date.submittedMay 2015
dc.identifier.urihttp://hdl.handle.net/1853/54902
dc.description.abstractAs the number of autonomous decision-making entities in the electricity grid increases, it is necessary to develop (1) new decision-making capabilities embedded within the grid's control and management, and (2) new grid architecture models ensuring that both individual and system objectives are met. This work develops (1) new decision-making mechanisms enabling residential energy users and electricity providers to interact through the use of dynamic price signals, and (2) policy recommendations to facilitate the emergence of shared architecture models describing the future state of the electricity grid. In the first part, two optimization models that capture the emerging flexible consumption, storage, and generation capabilities of residential end-users are formulated. An economic dispatch model that explicitly accounts for end-users' internal dynamics is proposed. A non-iterative pricing algorithm using convex and inverse linear programming is developed to induce autonomous residential end-users to behave cooperatively and minimize the provider's generation costs. In the second part, several factors that make the development of grid architecture models necessary from a public policy standpoint are identified and discussed. The grid architecture problem is rigorously framed as both a market failure legitimizing government intervention, and a meta-problem requiring the development of non-conventional methods of solution. A policy approach drawing on the theoretical concepts of broker, boundary object and boundary organization is proposed.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectHome energy management
dc.subjectElectricity pricing
dc.subjectInverse linear programming
dc.subjectEnergy prosumers
dc.subjectGrid architecture
dc.titleDecision-making in the future electricity grid: home energy management, pricing design, and architecture development
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentElectrical and Computer Engineering
thesis.degree.levelDoctoral
dc.contributor.committeeMemberHarley, Ronald
dc.contributor.committeeMemberNorton, Bryan
dc.contributor.committeeMemberTovey, Craig A.
dc.contributor.committeeMemberGoodman, Seymour
dc.date.updated2016-05-27T13:10:57Z


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