Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/302447
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dc.coverage.spatialSome investigations on harmonics in gridtied wind farm with battery energy storage
dc.date.accessioned2020-10-09T12:01:48Z-
dc.date.available2020-10-09T12:01:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/302447-
dc.description.abstractVery large capacity energy storage systems ESS are required in power systems for utility shaping when renewable energy systems like wind farms are not supporting sufficient generation due to their intermittent nature In this work Battery Energy Storage System BESS is considered While incorporating BESS its size has to be optimised its dynamics over electrical characteristics has to be analysed and power quality issues arising of AC DCAC conversion stage has to be addressed This work presents insight into a methodology for sizing the BESS a generic BESS model that incorporate its thermodynamics and a numerical fuzzy inference based switching frequency ratio selection for DCAC conversion stage to address the power quality issues The switching frequency ratio selection is based on realtime monitoring of grid side power quality issues In this context in order to size the BESS the intermittent nature of wind power is forecasted using ANN technique To understand the wind velocity variation and wind power variation prediction phenomena a data base comprising 9 variables which presents the site atmospheric conditions is considered. newline
dc.format.extentxxv,191
dc.languageEnglish
dc.relationp.184-190
dc.rightsuniversity
dc.titleSome investigations on harmonics in gridtied wind farm with battery energy storage
dc.title.alternative
dc.creator.researcherShankar M
dc.subject.keywordEnergy storage
dc.subject.keywordRenewable energy
dc.subject.keywordWind power
dc.description.note
dc.contributor.guideKumudini Devi R P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registeredn.d
dc.date.completed2019
dc.date.awarded19/08/2019
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdf.pdfAttached File22.83 kBAdobe PDFView/Open
02_certificates.pdf.pdf636.87 kBAdobe PDFView/Open
03_abstracts.pdf.pdf8.58 kBAdobe PDFView/Open
04_acknowledgements.pdf.pdf4.34 kBAdobe PDFView/Open
05_contents.pdf.pdf10.05 kBAdobe PDFView/Open
06_list_of_tables.pdf.pdf5.21 kBAdobe PDFView/Open
07_list_of_figures.pdf.pdf38.87 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf.pdf67.58 kBAdobe PDFView/Open
09_chapter1.pdf.pdf159.46 kBAdobe PDFView/Open
10_chapter2.pdf.pdf370.92 kBAdobe PDFView/Open
11_chapter3.pdf.pdf786.82 kBAdobe PDFView/Open
12_chapter4.pdf.pdf885.89 kBAdobe PDFView/Open
13_conclusion.pdf.pdf44.35 kBAdobe PDFView/Open
14_appendices.pdf.pdf43.71 kBAdobe PDFView/Open
15_references.pdf.pdf45.5 kBAdobe PDFView/Open
16_list_of_publications.pdf.pdf15.33 kBAdobe PDFView/Open
80_recommendation.pdf130.11 kBAdobe PDFView/Open


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