1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Electrical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/476937
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dc.coverage.spatialEnhancement of LVRT in DFIG based WECS using intelligent control techniques
dc.date.accessioned2023-04-19T06:41:31Z-
dc.date.available2023-04-19T06:41:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/476937-
dc.format.extentxxiii,171p.
dc.languageEnglish
dc.relationp.155-170
dc.rightsuniversity
dc.titleEnhancement of LVRT in DFIG based WECS using intelligent control techniques
dc.title.alternative
dc.creator.researcherAngala Parameswari G
dc.subject.keywordVariable Speed Generators
dc.subject.keywordDoubly Fed Induction Generators
dc.subject.keywordArtificial Neural Network
dc.description.note
dc.contributor.guideHabeebullah Sait H
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File84.46 kBAdobe PDFView/Open
02_prelim pages.pdf3.9 MBAdobe PDFView/Open
03_contents.pdf110.48 kBAdobe PDFView/Open
04_abstracts.pdf23.6 kBAdobe PDFView/Open
05_chapter1.pdf547.64 kBAdobe PDFView/Open
06_chapter2.pdf454.34 kBAdobe PDFView/Open
07_chapter3.pdf544.09 kBAdobe PDFView/Open
08_chapter4.pdf1.31 MBAdobe PDFView/Open
09_chapter5.pdf1.84 MBAdobe PDFView/Open
10_annexures.pdf140.21 kBAdobe PDFView/Open
80_recommendation.pdf113.6 kBAdobe PDFView/Open
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