Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/23576
Title: Integration of the shortest path finding algorithms with a multi agent approach for power system restoration
Researcher: Hemalatha S
Guide(s): Valsalal P
Keywords: electrical engineering
Integration
power system
Upload Date: 21-Aug-2014
University: Anna University
Completed Date: 01/10/2012
Abstract: Power system restoration following a partial or total blackout is one newlineof the most important tasks for power system operators It is a complex newlineprocess that restores the system back to normal after an extensive outage of newlinethe system Due to a combination of unforeseen circumstances there is a newlineremote possibility of a system wide outage and it is very important not only newlineto minimize power failure but also restore the power system network quickly newlineand safely During this stressful situation to reduce shortage of power newlinesupply proper switching of power lines is required The efficient switching newlineoperations require the identification of optimal path for the power flow in the newlinenetwork A thriving restorative path search guidance tool will be a welcome newlineadvantage The objective of this work is to reconfigure the de energized newlinenetwork by maximizing the amount of power restored through the optimal path newline newline
Pagination: xix,158p.
URI: http://hdl.handle.net/10603/23576
Appears in Departments:Faculty of Electrical and Electronics Engineering

Files in This Item:
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01_title.pdfAttached File120.84 kBAdobe PDFView/Open
02_certificates.pdf1.33 MBAdobe PDFView/Open
03_abstract.pdf58.87 kBAdobe PDFView/Open
04_acknowledgemet.pdf55.42 kBAdobe PDFView/Open
05_contents.pdf101.53 kBAdobe PDFView/Open
06_chapter 1.pdf162.57 kBAdobe PDFView/Open
07_chapter 2.pdf193.49 kBAdobe PDFView/Open
08_chapter 3.pdf2.85 MBAdobe PDFView/Open
09_chapter 4.pdf405.44 kBAdobe PDFView/Open
10_chapter 5.pdf3.73 MBAdobe PDFView/Open
11_chapter 6.pdf63.04 kBAdobe PDFView/Open
12_appendix.pdf81.86 kBAdobe PDFView/Open
13_references.pdf86.02 kBAdobe PDFView/Open
14_publications.pdf55.32 kBAdobe PDFView/Open
15_vitae.pdf50.13 kBAdobe PDFView/Open


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