Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/333281
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialInvestigations on solar pv fed converter systems with maximum power point tracking
dc.date.accessioned2021-07-26T06:54:22Z-
dc.date.available2021-07-26T06:54:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/333281-
dc.description.abstractRenewable energy has transpired as an alternative source of energy. Its share of total energy consumption is on the increase. Growth in consumption of coal and oil could end by 2020 due to increased uptake of renewable and natural gases. Renewable energy resources exist over wide geographical areas, in contrast to other energy sources, which are concentrated only in a few countries. Rapid deployment of renewable energy and energy efficiency is resulting in significant energy security, climate change mitigation, and economic benefits. International public opinion surveys show strong support for promoting renewable sources such as solar power and wind power. The main objective of this research work is to investigate Solar Photovoltaic (PV) fed converter systems with Maximum Power Point Tracking (MPPT). Photovoltaic modules are mostly placed in outdoor environment. The presence of buildings trees and other obstacles has caused exposure of modules to non-uniform irradiation causing Partial shading condition (PSC). Under Partial shading condition, the characteristic of PV curve shows multiple peaks, causing convergence onto a Local MPP rather than the Global MPP. Generally a MPPT scheme is adopted for the extraction of the maximum power under varying conditions. It has been reported that under PSC, power losses incurred with conventional MPPT techniques may be up to 70%.Therefore it is necessary to track the global MPP effectively in order to maximize the efficiency under Partial shading condition. The application of Particle Swarm Optimization (PSO) technique enhances the maximum power from the solar photovoltaic systems under partial shading condition through efficient tracking of the power and attainment of better results compared with the existing methods. newline
dc.format.extentxvi, 111p.
dc.languageEnglish
dc.relationp.105-110
dc.rightsuniversity
dc.titleInvestigations on solar pv fed converter systems with maximum power point tracking
dc.title.alternative
dc.creator.researcherAnitha M
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordsolar pv
dc.subject.keywordconverter systems
dc.description.note
dc.contributor.guideSomasundaram P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
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 File25.55 kBAdobe PDFView/Open
02_certificates.pdf161.44 kBAdobe PDFView/Open
03_vivaproceedings.pdf321.17 kBAdobe PDFView/Open
04_bonafidecertificate.pdf560.28 kBAdobe PDFView/Open
05_abstracts.pdf14.45 kBAdobe PDFView/Open
06_acknowledgements.pdf711.32 kBAdobe PDFView/Open
07_contents.pdf191.38 kBAdobe PDFView/Open
08_listoftables.pdf11.07 kBAdobe PDFView/Open
09_listoffigures.pdf191.53 kBAdobe PDFView/Open
10_listofabbreviations.pdf121.15 kBAdobe PDFView/Open
11_chapter1.pdf192.12 kBAdobe PDFView/Open
12_chapter2.pdf1.27 MBAdobe PDFView/Open
13_chapter3.pdf859.48 kBAdobe PDFView/Open
14_chapter4.pdf830.77 kBAdobe PDFView/Open
15_conclusion.pdf22.67 kBAdobe PDFView/Open
16_references.pdf144.48 kBAdobe PDFView/Open
17_listofpublications.pdf124.22 kBAdobe PDFView/Open
80_recommendation.pdf59.31 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: