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Doctoral Thesis
DOI
10.11606/T.18.2013.tde-27112013-110022
Document
Author
Full name
Lucca Zamboni
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2013
Supervisor
Committee
Silva, Ivan Nunes da (President)
Flauzino, Rogério Andrade
Grimoni, José Aquiles Baesso
Souza Sobrinho, Carlos Leônidas da Silva
Ulson, José Alfredo Covolan
Title in Portuguese
Detecção e localização de faltas em sistemas elétricos de distribuição usando abordagem inteligente baseada em análise espectral de sinais
Keywords in Portuguese
Análise de sinais
Detecção de faltas
Sistemas elétricos de potência
Sistemas inteligentes
Abstract in Portuguese
O objetivo deste trabalho é estudar a identificação, classificação, localização e setorização de faltas em redes de distribuição radiais, verificar a maneira de aplicar e integrar diversas ferramentas numéricas convencionais, assim como ferramentas de sistemas inteligentes, visando identificar a ocorrência de uma falta, classificar as fases envolvidas com a mesma, e aplicar as diversas ferramentas existentes a fim de localizar em tempo real o eventual local onde houve a ocorrência da falta, permitindo que a mesma possa ser setorizada dentro do sistema da concessionária e informada ao centro de operações, usando uma nova abordagem inteligente baseada em análise espectral de sinais.
Title in English
Fault detection and location in power distribution systems using intelligent approach based in spectral signal analysis
Keywords in English
Electrical power systems
Fault detection
Intelligent systems
Signal analysis
Abstract in English
The aim of this work is study the identification, classification, location and sectorization of a fault in distribution radial networks, check how to implement and integrate various conventional numerical tools, as well as intelligent systems based tools, to identify the occurrence of a fault, classify the phases involved with it, and apply the various tools available to locate the place where a fault was occurred in real time, enabling it to be sectorized into the utility system and informed to operational center using a new intelligent approach based on spectral signals analysis.
 
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Lucca.pdf (9.27 Mbytes)
Publishing Date
2013-12-06
 
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