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Title: Artificial intelligence based Algorithms for the optimal solution Of security constrained thermal unit N Commitment and short term Hydrothermal scheduling problem
Researcher: Senthil kumar V
Guide(s): Mohan M R
Keywords: Enhanced Genetic Algorithm
Genetic Algorithm
Simple Genetic Algorithm
Unit Commitment
Upload Date: 18-Nov-2014
University: Anna University
Completed Date: 01/12/2007
Abstract: The main objective of this research is to develop Genetic Algorithm newline GA based algorithms for solving the Unit Commitment UC problems newlinehydrothermal scheduling and hydrothermal scheduling with pumped hydro newlineplant Efforts are taken to make the proposed algorithms simple reliable and newlineefficient with excellent convergence characteristics newlineThe problems investigated with the proposed algorithms include newlineUC problem with improved lambda iteration technique and security newlineConstraints hydrothermal scheduling with security constraints and newlinehydrothermal scheduling with pumped hydro plant for the operational benefits newlinesuch as peak load management and spinning reserve unit with security newlineconstraints An Enhanced Genetic Algorithm EGA is proposed to solve the newlineUC problem In addition to Simple Genetic Algorithm SGA advanced and newlineproblem specific operators like two level crossovers swap mutation repair newlineand approximate operators are introduced in order to enhance the algorithms newlineefficiency and accuracy newline newline
Pagination: xxii, 129p.
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File39.15 kBAdobe PDFView/Open
02_certificate.pdf5.82 kBAdobe PDFView/Open
03_abstract.pdf13.23 kBAdobe PDFView/Open
04_acknowledgement.pdf5.67 kBAdobe PDFView/Open
05_content.pdf36.88 kBAdobe PDFView/Open
06_chapter1.pdf45.25 kBAdobe PDFView/Open
07_chapter2.pdf484.71 kBAdobe PDFView/Open
08_chapter3.pdf116.85 kBAdobe PDFView/Open
09_chapter4.pdf120.24 kBAdobe PDFView/Open
10_chapter5.pdf14.45 kBAdobe PDFView/Open
11_appendix.pdf294.28 kBAdobe PDFView/Open
12_reference.pdf19.95 kBAdobe PDFView/Open
13_publication.pdf8.07 kBAdobe PDFView/Open
14_vitae.pdf5.46 kBAdobe PDFView/Open

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