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dc.coverage.spatialCertain investigations on installation cost minimization for pv wind battery systems using few heuristic algorithms
dc.date.accessioned2021-08-05T10:58:01Z-
dc.date.available2021-08-05T10:58:01Z-
dc.identifier.urihttp://hdl.handle.net/10603/334803-
dc.description.abstractVarious forms of non-conventional energy are being applied in enormous fields for the continuity of the existence of the human beings right from the origin. Electrical Power has bagged the most priority position in human race usage down the centuries. However, a new dismal requirement in the primary power issue necessarily is the reassessment and recalibration both generally and worldwide. This includes the following factors like: available content of the depleting conventional energy sources, power supply reliability to cater to the ever escalating load requirement, economically growing energy costs, ecological imprints affecting greenhouse gases, etc., The focus of the rapidly emerging technologies for the production of power in India and worldwide is mostly towards the usage of wind and solar energy which are the renewable energy sources. A hybrid system can be a mixture of conventional and non-conventional sources, with or without energy storing equipment. However, due to the intermittent nature of such renewable sources, energy storage devices are required to enhance reliability and for the provision of uninterrupted hybrid system supply. The proper implication of this hybrid system guarantees with enhanced consistency and stability, reduces emissions and sound pollution, offers continuous supply of power, increasing the operating life of devices within economical budget and efficacious usage of obtainable power. This dissertation is primarily persistent towards the production and usage of electrical energy from nonconventional renewable sources. The current high capital cost of wind turbine leads to a potential cost effective approach of combination of PV and the wind sources. Hybrid system combination of sources optimally found out is comparatively better than stand-alone sources for the supply of power. The main findings are: iv Three different heuristic algorithms like GA- Genetic newline
dc.format.extentxv,146 p.
dc.languageEnglish
dc.relationp.135-145
dc.rightsuniversity
dc.titleCertain investigations on installation cost minimization for pv wind battery systems using few heuristic algorithms
dc.title.alternative
dc.creator.researcherSangeetha, P
dc.subject.keywordNon-conventional energy
dc.subject.keywordHeuristic algorithms
dc.subject.keywordCost minimization
dc.description.note
dc.contributor.guideSangeetha, P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File173.53 kBAdobe PDFView/Open
02_certificates.pdf235.78 kBAdobe PDFView/Open
03_vivaproceedings.pdf769.18 kBAdobe PDFView/Open
04_bonafidecertificate.pdf603.96 kBAdobe PDFView/Open
05_abstracts.pdf345.42 kBAdobe PDFView/Open
06_acknowledgements.pdf1.99 MBAdobe PDFView/Open
07_contents.pdf375.42 kBAdobe PDFView/Open
08_listoftables.pdf347.59 kBAdobe PDFView/Open
09_listoffigures.pdf353.34 kBAdobe PDFView/Open
10_listofabbreviations.pdf176.55 kBAdobe PDFView/Open
11_chapter1.pdf747.98 kBAdobe PDFView/Open
12_chapter2.pdf535.87 kBAdobe PDFView/Open
13_chapter3.pdf1.09 MBAdobe PDFView/Open
14_chapter4.pdf1.35 MBAdobe PDFView/Open
15_chapter5.pdf803.97 kBAdobe PDFView/Open
16_chapter6.pdf846.89 kBAdobe PDFView/Open
17_chapter7.pdf758.97 kBAdobe PDFView/Open
18_chapter8.pdf1.57 MBAdobe PDFView/Open
20_conclusion.pdf452.97 kBAdobe PDFView/Open
21_appendices.pdf1.16 MBAdobe PDFView/Open
22_references.pdf556.22 kBAdobe PDFView/Open
23_listofpublications.pdf360.97 kBAdobe PDFView/Open
80_recommendation.pdf272.92 kBAdobe PDFView/Open


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