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dc.contributor.advisorMathisen, Geir
dc.contributor.advisorMarafioti, Giancarlo
dc.contributor.authorAlves, Erick Fernando
dc.date.accessioned2018-08-17T09:54:18Z
dc.date.available2018-08-17T09:54:18Z
dc.date.issued2018-08-16
dc.description.abstractThis work investigates and implements algorithms for reliable parameter identification for salient pole synchronous machines that can be used for condition monitoring, on line assessment of the power grid, and adaptive control. All these applications are steps necessary to enable a smarter power grid, in which seamless integrated digital technology provides state estimation, fault detection, and self-healing functionalities, with the ultimate goal of ensuring a reliable supply of electricity, and reducing vulnerability to natural disasters or attacks.en_US
dc.identifier.urihttps://hdl.handle.net/10037/13470
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2018 The Author(s)
dc.subject.courseIDSHO6262
dc.subjectVDP::Teknologi: 500::Elektrotekniske fag: 540en_US
dc.subjectVDP::Technology: 500::Electrotechnical disciplines: 540en_US
dc.subjectparameter identificationen_US
dc.subjectsynchronous machinesen_US
dc.subjectsmart griden_US
dc.subjectcondition monitoringen_US
dc.subjectstability assessmenten_US
dc.subjectadaptive controlen_US
dc.titleReliable parameter identification for synchronous machinesen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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