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Master's Dissertation
DOI
10.11606/D.18.2012.tde-16042012-155039
Document
Author
Full name
Rogério Cesar Serapião Silva
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2012
Supervisor
Committee
Coury, Denis Vinicius (President)
Oleskovicz, Mério
Santos, Ricardo Caneloi dos
Title in Portuguese
Projeto diferencial de geradores síncronos: o uso de redes neurais artificiais para identificação e correção da saturação dos transformadores de corrente
Keywords in Portuguese
Geradores síncronos
Proteção diferencial
Redes neurais artificiais
Saturação dos transformadores de corrente
Abstract in Portuguese
Este trabalho tem como objetivo apresentar um algoritmo de proteção diferencial de geradores baseado em Redes Neurais Artificiais (RNAs), que seja robusto e confiável em situações onde os algoritmos padrões podem apresentar dificuldades, como no caso, da saturação de TCs. O algoritmo desenvolvido é constituído por dois módulos principais: a) um módulo de detecção da saturação dos transformadores de corrente (TCs) empregados na proteção diferencial de geradores e; b) um módulo de correção das formas de onda distorcidas devido à saturação dos TCs. Os módulos utilizam RNAs para detectar e corrigir situações onde haja saturação dos TCs, a fim de evitar a má operação da proteção diferencial. O algoritmo foi desenvolvido em ambiente Matlab e validado com base nos dados da modelagem e simulações de um sistema elétrico utilizando o software Alternative Transients Program (ATP).
Title in English
Differential protection for synchronous generators: the use of artificial neural networks for identification and correction of the saturation of current transformers.
Keywords in English
Differential protection. Artificial neural networks. Power generator. Current transformer saturatio
Abstract in English
This work has as objective to present an algorithm for differential protection of generators based on Artificial Neural Networks (ANN), which is robust and reliable in situations where standard algorithms fail, as in the case of Current Transformer (CT) saturation. The algorithm developed consists of two main modules: a) a module to detect saturation of CTs used in differential protection of generators and; b) module to correct distorted waveforms due to CT saturation. The modules use ANNs to detect and correct situations where there is saturation of CTs in order to avoid misoperation of the differential protection. The algorithm was developed using Matlab software and validated based on data modeling and simulations of a power system using the Alternative Transients Program (ATP) software.
 
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Rogerio.pdf (2.72 Mbytes)
Publishing Date
2012-04-20
 
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