Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/37825
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialJoint optimization of radial distribution Network through hybrid fuzzy and Opposition based differential Evolution algorithmen_US
dc.date.accessioned2015-03-23T08:13:13Z-
dc.date.available2015-03-23T08:13:13Z-
dc.date.issued2015-03-23-
dc.identifier.urihttp://hdl.handle.net/10603/37825-
dc.description.abstractPower distribution networks are built as interconnected systems newlineThey are constructed by one of the three types radial open loop and network newlineThey are usually arranged to be radial in operation to simplify over current newlineProtection Usually distribution systems are designed to be most efficient at newlinepeak load demand Utilities are constantly looking for newer technologies that newlineenhance power delivery performance One of the several important issues is newlinethe control of power loss newlineSeveral strategies can be employed to minimize power losses in a newlinedistribution network They are feeder reconfiguration inclusion of capacitor newlinebanks placement of AVRs placement of DSTATCOM balancing of newlinedistribution system etc Generally different methods have been used for newlinedistribution system optimization with common objective of loss reduction newlineFeeder reconfiguration and Capacitor Placement are the two popular methods newlinein vogue to reduce the power losses and to improve voltage at the buses of the newlinefeeder newlineThe reconfiguration of a distribution system is a process which newlinealters the feeder topological structure by changing the open close status of the newlineswitches in the distribution system Mostly reconfiguration guarantees the newlineloss reduction regardless of the characteristics of the distribution system newline newlineen_US
dc.format.extentxxviii, 173p.en_US
dc.languageEnglishen_US
dc.relationp163-172.en_US
dc.rightsuniversityen_US
dc.titleJoint optimization of radial distribution Network through hybrid fuzzy and Opposition based differential Evolution algorithmen_US
dc.title.alternativeen_US
dc.creator.researcherMuthukumar Ren_US
dc.subject.keywordCapacitor Placementen_US
dc.subject.keywordPower delivery performanceen_US
dc.subject.keywordPower distribution networksen_US
dc.description.notereference p163-172.en_US
dc.contributor.guideThanushkodi Ken_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.completed01/10/2014en_US
dc.date.awarded30/10/2014en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Electrical and Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File36.37 kBAdobe PDFView/Open
02_certificate.pdf920.09 kBAdobe PDFView/Open
03_abstract.pdf24.65 kBAdobe PDFView/Open
04_acknowledgement.pdf26.67 kBAdobe PDFView/Open
05_content.pdf75.63 kBAdobe PDFView/Open
06_chapter1.pdf202.12 kBAdobe PDFView/Open
07_chapter2.pdf570.54 kBAdobe PDFView/Open
08_chapter3.pdf311.38 kBAdobe PDFView/Open
09_chapter4.pdf533.39 kBAdobe PDFView/Open
10_chapter5.pdf385.72 kBAdobe PDFView/Open
11_chapter6.pdf83.32 kBAdobe PDFView/Open
12_chapter7.pdf18.83 kBAdobe PDFView/Open
13_reference.pdf274.76 kBAdobe PDFView/Open
14_publication.pdf31.93 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: