Fault Identification of UPFC-Compensated Transmission Lines in Complex Microgrids Using an Intelligent Relaying Scheme Based on Discrete Wavelet Transform and ANN Classifier

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dc.contributor.advisorSesay, A. B.
dc.contributor.authorRezai, Sina
dc.contributor.committeememberNowicki, Edwin P.
dc.contributor.committeememberPahlevani, Majid
dc.date2018-11
dc.date.accessioned2018-07-25T14:07:48Z
dc.date.available2018-07-25T14:07:48Z
dc.date.issued2018-07-23
dc.description.abstractTransformation of traditional power infrastructures to modern inter-connected electrical grids has resulted in the emergence of microgrids as modernization of the existing aging transmission and distribution systems. Microgrids allow integration of distributed energy resources (DER) such as wind farms (WF) and may utilize Flexible AC Transmission Systems (FACTS) such as Unified Power Flow Controller (UPFC). FACTS increase power flow capacity of transmission lines while DERs supply additional electric energy. In these systems, current direction, as well as power injections, may change at any time; hence, the protection task is complicated during fault occurrences. The fault data is highly nonlinear and nonstationary, making a conventional distance relay dysfunctional. To fix this, many researchers have used signal processing and soft computing techniques. However, previous works are inadequate in terms of scope and type of fault data acquired from circuits, which usually have simple topologies and are applicable to specific systems. In contrast, this work proposes a single-ended intelligent relaying scheme for high voltage UPFC-Compensated transmission lines in complex interconnected power systems with mesh/loop configurations. This study uses a microgrid model created in Matlab/Simulink, which includes a constant power source, a WF, a steam turbine synchronous generator (STSG), and UPFC for line compensation. Interestingly, most unpredictable in this circuit is the fault signature as it simultaneously combines the UPFC three-phase symmetric response as well as the responses from other interconnected sources. The study uses discrete wavelet transform (DWT) for feature extraction and artificial neuron network (ANN) for feature classification of fault currents. The main objectives are automatic detection and identification of fault type with the best accuracy, reliability, and reduced computational complexity. Furthermore, to analyze the impact of UPFC on fault, the study considers also: (i) circuit without UPFC and (ii) circuit without UPFC & DER. Furthermore, using a two-block ANN consisting of two parallel subclassifiers based on whether the fault involves ground or not, further improved the overall performance suggesting a modular ANN is preferred. Finally, the method achieved an early detection time of less than half cycle of post-fault data that is quite useful for breakers’ fast three-phase tripping operations.en_US
dc.identifier.citationRezai, S. (2018). Fault Identification of UPFC-Compensated Transmission Lines in Complex Microgrids Using an Intelligent Relaying Scheme Based on Discrete Wavelet Transform and ANN Classifier (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/32686en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/32686
dc.identifier.urihttp://hdl.handle.net/1880/107505
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectFault Identification
dc.subjectFault detection
dc.subjectFault classification,
dc.subjectTransmission Line Protection
dc.subjectUPFC
dc.subjectUPFC-Compensated
dc.subjectCompensated Transmission Line
dc.subjectLine Compensation with UPFC
dc.subjectUnified Power Flow Controller
dc.subjectUPFC Controller
dc.subjectLine Compensation
dc.subjectTransmission Line Relays
dc.subjectTransmission Line Relaying
dc.subjectTransmission Relaying System
dc.subjectTransmission Line Relaying System
dc.subjectTransmission Line Relaying Scheme
dc.subjectProtective Relaying Scheme
dc.subjectProtection
dc.subjectIntelligent Protective Relaying Scheme
dc.subjectIntelligent Relaying Scheme
dc.subjectIntelligent Protective Relays
dc.subjectIntelligent Protection
dc.subjectIntelligent Protection Scheme
dc.subjectSingle-ended Intelligent Protective Relaying
dc.subjectSingle-ended Intelligent Protective Relays
dc.subjectSingle-ended Intelligent Protective Relaying System
dc.subjectSingle-ended Protection System
dc.subjectSingle-ended Protection Scheme
dc.subjectOne-ended Protection System
dc.subjectOne-ended Protection Relays
dc.subjectOne-ended Protective Relaying
dc.subjectOne-ended Protective Relaying System
dc.subjectOne-ended Protective Relaying Scheme
dc.subjectSingle Terminal Protective Relaying
dc.subjectSingle-terminal Protective Relaying
dc.subjectSingle-terminal Protection
dc.subjectSingle-terminal Current-based Relay
dc.subjectSingle-terminal Current-based Relaying
dc.subjectDiscrete Wavelet Transform
dc.subjectANN Classifier
dc.subjectDWT and ANN Classifier
dc.subjectProtection based on Discrete Wavelet Transform and ANN Classifier
dc.subjectProtection based on DWT and ANN
dc.subjectRelays using DWT and ANN
dc.subjectRelaying Scheme using ANN
dc.subjectRelaying Scheme using DWT
dc.subjectDWT and ANN
dc.subjectDWT-ANN
dc.subjectDWT and ANN Fault
dc.subjectANN Fault
dc.subjectDWT Fault
dc.subjectDWT & ANN Fault
dc.subjectANN Calssification
dc.subjectANN Fault Detection
dc.subjectMicrogrid
dc.subjectMicrogrid Protection
dc.subjectComplex Microgrid
dc.subjectComplex Microgrid Protection
dc.subjectUPFC in Microgrid
dc.subjectMicrogrid using UPFC
dc.subjectTransmission Line Protection in Microgrid
dc.subjectFACTS in Transmission Line
dc.subjectFACTS Compensated Transmission Line
dc.subjectHigh-Voltage Transmission Line
dc.subjectHigh-Voltage Transmission Line Protection
dc.subjectWavlete energy-based protection
dc.subjectFast Detection of faults
dc.subjectEarly detection of fault
dc.subjectModular Neural Network Fault Classification
dc.subjectModular ANN Fault Classification
dc.subjectFault Identification based on ANN
dc.subjectFault Identification based on Neural Network
dc.subjectFault classification based on ANN
dc.subjectFault Identification based on DWT
dc.subjectFault detection based on DWT
dc.subjectSingle-ended Protective Relaying
dc.subjectSingle-ended Relaying
dc.subjectSingle-ended Protective Relays
dc.subjectSingle-ended Relays
dc.subjectPower System Protection
dc.subjectPower System Protective Relaying
dc.subjectPower System
dc.subjectSimulink modelling of microgrid
dc.subjectSimulink model of microgrid
dc.subjectSimulink modelling of power system
dc.subjectSimulink model of power system
dc.subjectSimulink model of test power system
dc.subjectTest Microgrid Model
dc.subjectTest Power System Model
dc.subjectFault study
dc.subjectFault studies
dc.subjectFault Analysis
dc.subjectTransmission Line Fault Analysis
dc.subjectTransmission Line Short Circuit Analysis
dc.subjectTransmission Line Short-Circuit Analysis
dc.subjectShort Circuit Analysis
dc.subjectShort-Circuit Analysis
dc.subjectTransmission Line Fault
dc.subjectTransmission Line Short Circuit
dc.subjectLine Fault
dc.subject.classificationEducation--Technologyen_US
dc.subject.classificationEducation--Tests and Measurementsen_US
dc.subject.classificationApplied Sciencesen_US
dc.subject.classificationArtificial Intelligenceen_US
dc.subject.classificationEngineeringen_US
dc.subject.classificationEngineering--Electronics and Electricalen_US
dc.titleFault Identification of UPFC-Compensated Transmission Lines in Complex Microgrids Using an Intelligent Relaying Scheme Based on Discrete Wavelet Transform and ANN Classifier
dc.typemaster thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
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