Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26549
Title: Application of computational Intelligent techniques for solving Power systems security problems
Researcher: Sutha S
Guide(s): Kamaraj N
Keywords: Electrical Engineering
Power systems security
Upload Date: 13-Oct-2014
University: Anna University
Completed Date: 01-09-2008
Abstract: The growth of large interconnected power systems demands a high newlinedegree of security for normal operation Consequently the burden of the newlinesystem operators has increased tremendously Their effort is to ensure that all newlinethe customers are satisfied with good quality of electric power supplied all the newlinetime Therefore it becomes a necessity to develop methods for a quick newlinesecurity evaluation of power system performance using real time data In fact newlinethe operator will be able to detect system conditions which may lead to newlinepossible failure or deterioration of the quality of power supply before the newlineoccurrence of such conditions The evaluation forewarns the operators that the newlinesystem is not in secure operating conditions and appropriate precautions and newline or remedial actions must be taken quickly newline newline
Pagination: xxv, 199p.
URI: http://hdl.handle.net/10603/26549
Appears in Departments:Faculty of Electrical and Electronics Engineering

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02_certificate.pdf27.2 kBAdobe PDFView/Open
03_abstract.pdf16.92 kBAdobe PDFView/Open
04_acknowledgement.pdf12.96 kBAdobe PDFView/Open
05_content.pdf77.2 kBAdobe PDFView/Open
06_chapter1.pdf41.01 kBAdobe PDFView/Open
07_chapter2.pdf94.73 kBAdobe PDFView/Open
08_chapter3.pdf43.77 kBAdobe PDFView/Open
09_chapter4.pdf244.66 kBAdobe PDFView/Open
10_chapter5.pdf203.53 kBAdobe PDFView/Open
11_chapter6.pdf243.82 kBAdobe PDFView/Open
12_chapter7.pdf117.67 kBAdobe PDFView/Open
13_chapter8.pdf59.98 kBAdobe PDFView/Open
14_appendix.pdf113.28 kBAdobe PDFView/Open
15_reference.pdf59.13 kBAdobe PDFView/Open
16_publication.pdf16.12 kBAdobe PDFView/Open
17_vitae.pdf11.78 kBAdobe PDFView/Open
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