Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/352337
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dc.date.accessioned2021-12-22T09:23:28Z-
dc.date.available2021-12-22T09:23:28Z-
dc.identifier.urihttp://hdl.handle.net/10603/352337-
dc.description.abstractNowadays, the modern world has more concern about increasing population as well as environmental changes. Hence using the Renewable Energy Sources (RES), power generation systems have actively developed in many countries. One of the main sources of RES is solar energy. In solar energy system, emitted energy from the sun is directly converted to electricity in Photovoltaic (PV) system. This dissertation focuses on the advanced techniques based Maximum Power Point Tracking (MPPT) on grid connected and standalone solar PV applications. The first chapter explains the introduction about MPPT of grid connected system with various renewable energy sources. Second chapter is describes the elaborate literature review about the MPPT of grid connected system with hybrid renewable energy sources. Third chapter presents the MPPT of standalone solar PV system with Luo converter. Here, to authenticate the performance of the MPPT system with Luo converter, an incremental conductance techniques of SPWM and SVM are used. Fourth chapter describes the comparison of maximum power point tracking of integrated PV system with Sinusoidal Pulse-Width Modulation (SPWM) and Space Vector Pulse- Width Modulation (SVPWM) techniques. The proposed Space Vector newline newline newline newlineModulation (SVM) and SPWM method outcomes are compared and analyzed. The SVM performance is greater than the SPWM technique and also SVM technique provides better result than the SPWM. Fifth chapter presents the maximum power point tracking of PV system utilizing man based space vector modulated inverter. Here, Man of League Algorithm (MLA) is presented for the purpose of preserving the dc voltage of the system. Sixth chapter describes the MPPT of solar PV system with multi level inverter. Here, the proposed approach is the combination of improved dolphin echolocation algorithm (IDEA) and gradient boosting decision trees (GBDT), hence known as IDE-GBDT approach. The objective of the proposed method with multilevel inverter is to minimize
dc.format.extentA5
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAdvanced Techniques Based Maximum Power Point Tracking On Solar Pv Applications
dc.title.alternative
dc.creator.researcherSaravanan,S
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideSivakumaram,T S
dc.publisher.placeChennai
dc.publisher.universitySathyabama Institute of Science and Technology
dc.publisher.institutionELECTRICAL ENGINEERING
dc.date.registered2013
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions266
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:ELECTRICAL ENGINEERING

Files in This Item:
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01. title.pdfAttached File107.26 kBAdobe PDFView/Open
02. certificate.pdf641.02 kBAdobe PDFView/Open
03. acknowledgement.pdf14.74 kBAdobe PDFView/Open
04. abstract.pdf17.41 kBAdobe PDFView/Open
05. table of contents.pdf696.77 kBAdobe PDFView/Open
06. chapter 1.pdf440.54 kBAdobe PDFView/Open
06. chapter 2.pdf553.22 kBAdobe PDFView/Open
06. chapter 3.pdf2.26 MBAdobe PDFView/Open
06. chapter 4.pdf2.7 MBAdobe PDFView/Open
06. chapter 5.pdf1.73 MBAdobe PDFView/Open
06. chapter 6.pdf1.71 MBAdobe PDFView/Open
07. conclusion.pdf87.11 kBAdobe PDFView/Open
08. references.pdf691.15 kBAdobe PDFView/Open
09. curriculam vitae.pdf113.93 kBAdobe PDFView/Open
10. evaluation reports.pdf4.87 MBAdobe PDFView/Open
80_recommendation.pdf107.26 kBAdobe PDFView/Open


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