Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/303690
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dc.coverage.spatialCertain investigations on power quality enhancement using gravitational search algorithm based d-statcom
dc.date.accessioned2020-10-21T10:59:39Z-
dc.date.available2020-10-21T10:59:39Z-
dc.identifier.urihttp://hdl.handle.net/10603/303690-
dc.description.abstractThis research work presents a control scheme for power quality problem by implementing distribution static synchronous compensator DSTATCOM and enhancing the Power Quality PQ by utilizing the many optimizing techniques In the vast field of DSTATCOM applications compensation for supply voltage flicker imbalance reactive power negative sequence current component and harmonics are discussed in this research work In other words the DSTATCOM has the capability of improving the PQ at the point of common coupling in the power distribution system The main attributes for PQ problems are voltage sag voltage swell unbalanced load current and voltage harmonics these causes undesirable effect on the bearing These PQ issues are compensated by DFACTS devices A high performance of the DSTATCOM is mainly characterized by PQ problem optimization The three phase power supply for DSTATCOM is analyzed with the help of the different power converters like shunt converters VSC etc Based on the converter the DSTATCOM reduces the distortion thereby enhancing the power quality The enhanced UPQC devices performance can improve the PQ issues tracking voltage sag voltage swell total harmonic distortion and balanced unbalanced load to their respective control methodologies With the most suitable control strategy for the DSTATCOM its performance can be significantly utilized for improving the PQ In this thesis many intelligent techniques have been proposed to suppress the PQ issues by successful implementation of DSTATCOM The various intelligent techniques Artificial Neural Network Fuzzy Logic Control newline
dc.format.extentxix,204p.
dc.languageEnglish
dc.relationp.189-203.
dc.rightsuniversity
dc.titleCertain investigations on power quality enhancement using gravitational search algorithm based d statcom
dc.title.alternative
dc.creator.researcherPrakash D
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordD-STATCOM
dc.subject.keywordArtificial Neural Network
dc.subject.keywordPower Quality
dc.description.note
dc.contributor.guideMahalakshmi R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awarded2018
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.pdfAttached File70.59 kBAdobe PDFView/Open
02_certificates.pdf291.77 kBAdobe PDFView/Open
03_abstracts.pdf126.32 kBAdobe PDFView/Open
04_acknowledgements.pdf116.94 kBAdobe PDFView/Open
05_contents.pdf130.61 kBAdobe PDFView/Open
06_list_of_tables.pdf114.28 kBAdobe PDFView/Open
07_list_of_figures.pdf164.75 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf143.91 kBAdobe PDFView/Open
09_chapter1.pdf263.55 kBAdobe PDFView/Open
10_chapter2.pdf278.2 kBAdobe PDFView/Open
11_chapter3.pdf345 kBAdobe PDFView/Open
12_chapter4.pdf520.69 kBAdobe PDFView/Open
13_chapter5.pdf998.13 kBAdobe PDFView/Open
14_conclusion.pdf133.3 kBAdobe PDFView/Open
15_references.pdf242.29 kBAdobe PDFView/Open
16_list_of_publications.pdf172.89 kBAdobe PDFView/Open
80_recommendation.pdf117.66 kBAdobe PDFView/Open


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