Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49423
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dc.coverage.spatialThermal and wind power profit based unit commitment using evolutionary computational algorithmsen_US
dc.date.accessioned2015-09-11T05:16:56Z-
dc.date.available2015-09-11T05:16:56Z-
dc.date.issued2015-09-11-
dc.identifier.urihttp://hdl.handle.net/10603/49423-
dc.description.abstractThe need for sustainable economic growth has necessiated to newlineenhance the power generation capacity and optimization of capacity newlineutilization through judicious combination of centralized fossil fuel power newlineplants and decentralized renewable energy based power plants The renewable newlineenergy contribution has been increasing rapidly particularly wind energy newlinepenetration is much higher than other renewable energy sources worldwide newlineStatistical report of Global Wind Energy Council GWEC says that China is newlinehaving the highest installed capacity of wind energy followed by USA newlineGermany Spain and India Hence the optimal operation and planning of newlinepower generation systems are ranked high among the major tasks in the newlineelectric power sector newline newlineen_US
dc.format.extentxxvi, 185p.en_US
dc.languageEnglishen_US
dc.relationp. 174-183en_US
dc.rightsuniversityen_US
dc.titleThermal and wind power profit based unit commitment using evolutionary computational algorithmsen_US
dc.title.alternativeen_US
dc.creator.researcherLakshmi Ken_US
dc.subject.keywordcomputational algorithmsen_US
dc.subject.keywordElectrical engineeringen_US
dc.subject.keywordThermal and wind poweren_US
dc.description.noteReference p. 174-183en_US
dc.contributor.guideVasantharathna Sen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Electrical and Electronics Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/08/2014en_US
dc.date.awarded30/08/2014en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File48.11 kBAdobe PDFView/Open
02_cetificate.pdf412.69 kBAdobe PDFView/Open
03_abstract.pdf14.6 kBAdobe PDFView/Open
04_acknowledgement.pdf6.61 kBAdobe PDFView/Open
05_content.pdf43.69 kBAdobe PDFView/Open
06_chapter 1.pdf370.92 kBAdobe PDFView/Open
07_chapter 2.pdf392.61 kBAdobe PDFView/Open
08_chapter 3.pdf781.1 kBAdobe PDFView/Open
09_chapter 4.pdf492.76 kBAdobe PDFView/Open
10_chapter 5.pdf589.68 kBAdobe PDFView/Open
11_chapter 6.pdf470.98 kBAdobe PDFView/Open
12_chapter 7.pdf15.51 kBAdobe PDFView/Open
13_appendix.pdf19.18 kBAdobe PDFView/Open
14_references.pdf35.51 kBAdobe PDFView/Open
15_publications.pdf8.61 kBAdobe PDFView/Open


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