Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/509487
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dc.coverage.spatialAnalysis and investigation on photovoltaic based microgrid system using power converters
dc.date.accessioned2023-08-29T06:22:29Z-
dc.date.available2023-08-29T06:22:29Z-
dc.identifier.urihttp://hdl.handle.net/10603/509487-
dc.description.abstractMany countries are presently implementing photovoltaic (PV) power systems connected to the grid. Grid-connected PV power systems must overcome considerable challenges to get maximum power while maintaining acceptable system quality. Maximum power point trackers (MPPT) and efficient converters are required to harness the available power in any weather predicament. The primary objective of this research is to examine the microgrid integration of solar systems within permissible total harmonic distortion (THD) limits, with the help of intelligent controller fed advanced power conversion devices such as symmetrical hybrid switched inductor (SL) and switched capacitor (SC) based boost converter and modified cascade multilevel inverter (CMLI). newlineA DC-DC converter along with MPPT controller is ideal for improving the output voltage of the PV panel. A symmetrical hybrid SL-SC (SH-SL-SC) boost converter is suggested for microgrid-connected PV systems since it has a high voltage conversion ratio. A cascaded feedforward neural network (CFNN) and fuzzy MPPT controller-based newline
dc.format.extentxiv, 176p.
dc.languageEnglish
dc.relationp.166-175
dc.rightsuniversity
dc.titleAnalysis and investigation on photovoltaic based microgrid system using power converters
dc.title.alternative
dc.creator.researcherMahendravarman I
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordinverter
dc.subject.keywordmicrogrid
dc.subject.keywordphotovoltaic
dc.description.note
dc.contributor.guideElankurisil S. A
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21 c m
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
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01_title.pdfAttached File64.56 kBAdobe PDFView/Open
02_prelim.pdf749.05 kBAdobe PDFView/Open
03_content.pdf710.23 kBAdobe PDFView/Open
04_abstract.pdf129.7 kBAdobe PDFView/Open
05_chapter 1.pdf1.56 MBAdobe PDFView/Open
06_chapter 2.pdf981.88 kBAdobe PDFView/Open
07_chapter 3.pdf1.58 MBAdobe PDFView/Open
08_chapter 4.pdf4.46 MBAdobe PDFView/Open
09_chapter 5.pdf3.8 MBAdobe PDFView/Open
10_chapter 6.pdf3.52 MBAdobe PDFView/Open
11_annexures.pdf128.15 kBAdobe PDFView/Open
80_recommendation.pdf82.87 kBAdobe PDFView/Open


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