Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/31341
Title: Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms
Researcher: Prasanna T S
Guide(s): Somasundaram P
Keywords: electrical engineering
evolutionary algorithms
Optimal power
Upload Date: 22-Dec-2014
University: Anna University
Completed Date: 01/09/2009
Abstract: The main objective of this research is to develop fuzzified newlineevolutionary algorithms for solving various practical power system problems newlineAlgorithms are developed with an emphasis on their suitability for online newlineapplications Efforts are taken to make the proposed algorithms simple newlinereliable and efficient with excellent convergence characteristics newlineThe various problems investigated with the proposed algorithms newlineinclude multiconstrained dynamic Economic Dispatch ED MultiArea newlineEconomic Dispatch MAED Optimal Power Flow OPF DCOPF Security newlineConstrained AC Optimal Power Flow SCACOPF with Flexible AC newlineTransmission System FACTS controllers newline newline
Pagination: xxiii, 183p.
URI: http://hdl.handle.net/10603/31341
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File40.56 kBAdobe PDFView/Open
02_certificate.pdf6.01 kBAdobe PDFView/Open
03_abstract.pdf13.85 kBAdobe PDFView/Open
04_acknowledgement.pdf7.53 kBAdobe PDFView/Open
05_contents.pdf50.39 kBAdobe PDFView/Open
06_chapter 1.pdf78.99 kBAdobe PDFView/Open
07_chapter 2.pdf363.06 kBAdobe PDFView/Open
08_chapter 3.pdf244.75 kBAdobe PDFView/Open
09_chapter 4.pdf59.27 kBAdobe PDFView/Open
10_chapter 5.pdf199.48 kBAdobe PDFView/Open
11_chapter 6.pdf14.69 kBAdobe PDFView/Open
12_appendix.pdf177.48 kBAdobe PDFView/Open
13_references.pdf26.76 kBAdobe PDFView/Open
14_publications.pdf8.57 kBAdobe PDFView/Open
15_vitae.pdf5.56 kBAdobe PDFView/Open
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