Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/481748
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dc.coverage.spatialPerformance enhancement of various bos of solar photovoltaic system
dc.date.accessioned2023-05-08T11:57:42Z-
dc.date.available2023-05-08T11:57:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/481748-
dc.description.abstractThe Balance of System (BOS) in a Solar Photovoltaic (PV) system newlineconstitutes whole pack of blocks/modules which balances the power generated newlineby a PV array with the power consumed in the load side. The BOS includes all newlinethe main blocks PV array, Battery, Charge Controller and Inverter in a newlinestandalone PV system. The primary objective in this research is to enhance the newlineperformance of PV, battery and inverter modules in a balance of solar newlinephotovoltaic system. newlineRegarding the performance enhancement in PV module, in the first newlineproposed work voltage/current mismatch is analyzed during fault panel newlinereplacement. Barely one or two PV panels demand for replacement instead of newlinethe entire PV array because of some unexpected damages/faults occurs within newlinelesser years of installation. To compete with the emerging trends in solar market, newlinemanufacturers upgrade their products frequently results in the unavailability of newlineexact same panel for replacement. The replaced panel may vary either in the newlineratings or with the type. Based on the ratings/type the replaced panels are newlineclassified and analyzed under five cases : i) Under rated same type ii) Over rated newlinesame type iii) Under rated different type iv) Over rated different type v) Same newlinerated different type. Test results are carried out for 3*3 PV array under five cases newlinefor without and with changing in position. The performance parameters like newlinemaximum power achievement, power loss and fill factors are measured and its newlinevoltage/current mismatch is calculated to choose the better matching panel in the newlinereplacement position. The second proposed work is to detect and classify the newlinehealthy, hotspot and micro crack faults using Feed Forward Back Propagation newlineAlgorithm FFBPNN (based on Artificial Neural Network ANN) and Support newlineVector Machine SVM techniques (based on Machine Learning). newline
dc.format.extentxvii,119p.
dc.languageEnglish
dc.relationp.109-118
dc.rightsuniversity
dc.titlePerformance enhancement of various bos of solar photovoltaic system
dc.title.alternative
dc.creator.researcherMadhu Shobini M
dc.subject.keywordBalance of System
dc.subject.keywordSolar Photovoltaic
dc.subject.keywordArtificial Neural Network
dc.description.note
dc.contributor.guidePrince Winston D
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

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01_title.pdfAttached File9.81 kBAdobe PDFView/Open
02_prelimpages.pdf1.53 MBAdobe PDFView/Open
03_contents.pdf14.88 kBAdobe PDFView/Open
04_abstracts.pdf119.75 kBAdobe PDFView/Open
05_chapter1.pdf279.75 kBAdobe PDFView/Open
06_chapter2.pdf174.33 kBAdobe PDFView/Open
07_chapter3.pdf827.06 kBAdobe PDFView/Open
08_chapter4.pdf722.68 kBAdobe PDFView/Open
09_chapter5.pdf596.79 kBAdobe PDFView/Open
10_chapter6.pdf473.43 kBAdobe PDFView/Open
11_chapter7.pdf594.54 kBAdobe PDFView/Open
12_annexures.pdf117.33 kBAdobe PDFView/Open
80_recommendation.pdf72.55 kBAdobe PDFView/Open


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