Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26590
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dc.coverage.spatialHeuristic search methods for optimal location of facts devices in a power system networken_US
dc.date.accessioned2014-10-13T09:34:00Z-
dc.date.available2014-10-13T09:34:00Z-
dc.date.issued2014-10-13-
dc.identifier.urihttp://hdl.handle.net/10603/26590-
dc.description.abstractDue to the deregulation of electric power supply to the consumers heavy line flows and unwanted loop flows occur It tend to incur greater losses and to threaten stability and security ultimately making certain generations economically undesirable Hence there is an interest in better utilization of available capacities in a transmission network by installation of introduction of Flexible Alternating Current Transmission systems devices The introduction of FACTS devices in a power system network controls the power flows in the network which reduce the flows in heavily loaded lines resulting in increases loadability low system loss improve the stability and reliability of the network reduce the cost of production and improve the system performance considerably It is important to ascertain the FACTS devices location in the power system network because of their considerable costs The optimal location of FACTS devices has increasingly been drawing more attention today Hence this thesis work focuses on the analysis of location of FACTS devices in order to minimize the system lossesen_US
dc.format.extentxv, 107p.en_US
dc.languageEnglishen_US
dc.relationp.97-104en_US
dc.rightsuniversityen_US
dc.titleHeuristic search methods for optimal location of facts devices in a power system networken_US
dc.title.alternativeen_US
dc.creator.researcherBaskaran Jen_US
dc.subject.keywordElectrical and electronics engineeringen_US
dc.subject.keywordGenetic algorithmen_US
dc.subject.keywordHeuristic searchen_US
dc.subject.keywordMemetic algorithmen_US
dc.subject.keywordMicro genetic algorithmen_US
dc.subject.keywordPower systemen_US
dc.subject.keywordPower system networken_US
dc.description.noteReferences p.97-104, Appendix p.90-96en_US
dc.contributor.guidePalanisamy Ven_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.completed01/06/2006en_US
dc.date.awarded30/06/2006en_US
dc.format.dimensions23cm.en_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 File33.16 kBAdobe PDFView/Open
02_certificate.pdf6.05 kBAdobe PDFView/Open
03_abstract.pdf15.16 kBAdobe PDFView/Open
04_acknowledgement.pdf7 kBAdobe PDFView/Open
05_contents.pdf32.39 kBAdobe PDFView/Open
06_chapter1.pdf52.54 kBAdobe PDFView/Open
07_chapter2.pdf145.72 kBAdobe PDFView/Open
08_chapter3.pdf307.22 kBAdobe PDFView/Open
09_chapter4.pdf245.72 kBAdobe PDFView/Open
10_chapter5.pdf86.05 kBAdobe PDFView/Open
11_appendix.pdf101.15 kBAdobe PDFView/Open
12_references.pdf134.7 kBAdobe PDFView/Open
13_publications.pdf6.2 kBAdobe PDFView/Open
14_vitae.pdf6.07 kBAdobe PDFView/Open


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