User-Constrained Algorithms for Aggregate Residential Demand Response Programs with Limited Feedback.

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dc.contributor.authorGray, Adam Charles
dc.contributor.supervisorCrawford, Curran
dc.date.accessioned2015-03-27T22:20:18Z
dc.date.available2015-03-27T22:20:18Z
dc.date.copyright2015en_US
dc.date.issued2015-03-27
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThis thesis presents novel algorithms and a revised modeling framework to evaluate residential aggregate electrical demand response performance under scenarios with limited device-state feedback. These algorithms permit the provision of balancing reserves, or the smoothing of variable renewable energy generation, via an externally supplied target trajectory. The responsive load populations utilized were home heat pumps and deferred electric vehicle charging. As fewer devices in a responsive population report their state information, the error of the demand response program increases moderately but remains below 8%. The associated error of the demand response program is minimized with responsive load populations of approximately 4500 devices; the available capacity of the demand response system scales proportionally with population size. The results indicate that demand response programs with limited device-state feedback may provide a viable option to reduce overall system costs and address privacy concerns of individuals wishing to participate in a demand response program.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/5937
dc.languageEnglisheng
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectDemand Response
dc.subjectSmart Grid
dc.subjectPlug-in Electric Vehicles
dc.subjectBC Hydro
dc.subjectElectrical Generation
dc.subjectRenewable Energy
dc.subjectWind Turbines
dc.subjectLimited Feedback Control
dc.subjectuser-constrained algorithms
dc.subjectInstitute for Integrated Energy Systems (IESVic)
dc.titleUser-Constrained Algorithms for Aggregate Residential Demand Response Programs with Limited Feedback.en_US
dc.typeThesisen_US

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