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dc.contributor.advisorMolinas, Marta Maria Cabrera
dc.contributor.authorGrenne, Øyvind Nordal
dc.date.accessioned2019-09-11T11:42:38Z
dc.date.created2017-06-28
dc.date.issued2017
dc.identifierntnudaim:16961
dc.identifier.urihttp://hdl.handle.net/11250/2616112
dc.description.abstractThis thesis looks at the smoothing of wind power output by using empirical mode decomposition in combination with Fuzzy control. It first makes a review of different storage systems and their usefulness in various applications. Then, a closer look is made into how storage systems can be used for wind power integration. The topic of empirical mode decomposition is then gone through, as well Fuzzy control and how it can be used in wind power smoothing. It also goes through how power converters can be used to connect the energy storage system to the rest of the system, with the correct power flow. Then, simulations are done to see how the developed method would work for real world data.en
dc.languageeng
dc.publisherNTNU
dc.subjectKybernetikk og robotikk, Styring av smarte nett og fornybar energien
dc.titleSmoothing of Wind Power Fluctuation with a Fuzzy EMD approachen
dc.typeMaster thesisen
dc.source.pagenumber58
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi og elektroteknikk,Institutt for teknisk kybernetikknb_NO
dc.date.embargoenddate10000-01-01


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