Please use this identifier to cite or link to this item: http://theses.iitj.ac.in:8080/jspui/handle/123456789/168
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dc.contributor.advisorShaik, Abdul Gafoor-
dc.date.accessioned2020-05-07T23:44:20Z-
dc.date.available2020-05-07T23:44:20Z-
dc.date.issued2018-08-
dc.identifier.citationRathore, Bhuvnesh. (2019). Wavelet-Alienation Based Protection Scheme for Transmission Systems (Doctor's thesis). Indian Institute of Technology Jodhpur, Jodhpur.en_US
dc.identifier.urihttp://theses.iitj.ac.in:8080/jspui/handle/123456789/168-
dc.description.abstractThe stability of power system is largely affected by faults on the transmission line and time required to clear the faults. About two-third of the faults occur on transmission line network. Thus, power system stability and power quality is largely dependent on transmission line protection schemes. Quick detection of faults helps in faster maintenance and restoration of supply resulting in improved economy and reliability of power system. Multi-terminal transmission systems and transmission systems with FACTS devices play an important role to meet the increased power demand and its quality. However, these systems pose new challenges in the area of protection. Hence there is always a need to investigate into a technique based on signal processing and high-speed communication techniques to overcome the issues related to protection of modern power system. The proposed research work aims at using Alienation based technique which utilizes wavelet based Multi Resolution Analysis of three phase current signals to detect and classify the faults. The three-phase current and voltage signals are ynchronized with the help of Global Positioning System (GPS) clock. The current signals are decomposed using wavelet transform to obtain approximate coefficients over a moving window of quarter cycle. These approximate coefficients are compared with those of previous quarter cycle of same polarity to compute alienation coefficients. A fault index computed, based on these alienation coefficients, are utilized to detect and classify various transmission line faults by comparing it with pre-defined thresholds. The approximate coefficients of the current and voltage signals, of various terminals, are fed to Artificial Neural Network for location of fault precisely, from the respective terminal. The proposed algorithm has been tested successfully under the following conditions: 1 Variation in fault locations 2 Variation in fault incidence angles 3 Variation in fault impedances 4 Noise Contamination 5 Varying location of FACTS devices, etc. Various transmission systems have been considered for establishment of proposed algorithm includes: 1 Two-terminal transmission system 2 Multi-terminal transmission system 3 Compensated transmission lines with TCSC, STATCOM and UPFC It has been proved that the proposed technique can be successfully implemented for the transmission systems mentioned above by simulation studies. ...en_US
dc.description.statementofresponsibilityby Bhuvnesh Rathoreen_US
dc.format.extentxii, 110p.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Technology Jodhpuren_US
dc.rightsIIT Jodhpuren_US
dc.subject.ddcWavelet-Alienationen_US
dc.subject.ddcProtection Schemeen_US
dc.subject.ddcTransmissionen_US
dc.subject.ddcSystemsen_US
dc.titleWavelet-Alienation Based Protection Scheme for Transmission Systemsen_US
dc.typeThesisen_US
dc.creator.researcherRathore, Bhuvnesh-
dc.date.registered2013-
dc.date.awarded2019-06-
dc.publisher.placeJodhpuren_US
dc.publisher.departmentElectrical Engineeringen_US
dc.type.degreeDoctor of Philosophyen_US
dc.format.accompanyingmaterialCDen_US
dc.description.notecol. ill.; including bibliographyen_US
dc.identifier.accessionTP00045-
Appears in Collections:Ph. D. Theses

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01_declaration.pdf80.11 kBAdobe PDFView/Open
02_title.pdf134.93 kBAdobe PDFView/Open
03_abstract.pdf173.12 kBAdobe PDFView/Open
04_acknowledgements.pdf138.67 kBAdobe PDFView/Open
05_contents.pdf152.85 kBAdobe PDFView/Open
06_list_of_figures.pdf120.84 kBAdobe PDFView/Open
07_list_of_tables.pdf138.53 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf109.5 kBAdobe PDFView/Open
09_list_of_symbols.pdf135.28 kBAdobe PDFView/Open
10_chapter 1.pdf1.63 MBAdobe PDFView/Open
11_chapter 2.pdf601.59 kBAdobe PDFView/Open
12_chapter 3.pdf7.67 MBAdobe PDFView/Open
13_chapter 4.pdf5.44 MBAdobe PDFView/Open
14_chapter 5.pdf20.73 MBAdobe PDFView/Open
15_chapter 6 conclusion.pdf199.73 kBAdobe PDFView/Open
16_references.pdf233.77 kBAdobe PDFView/Open


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