• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
https://doi.org/10.11606/D.18.2009.tde-27052009-143220
Document
Author
Full name
Ricardo Augusto Souza Fernandes
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2009
Supervisor
Committee
Silva, Ivan Nunes da (President)
Oleskovicz, Mario
Serni, Paulo Jose Amaral
Title in Portuguese
Identificação de fontes de correntes harmônicas por redes neurais artificiais
Keywords in Portuguese
Componentes harmônicas
Identificação de fontes harmônicas
Redes neurais artificiais
Abstract in Portuguese
Este trabalho consiste em apresentar um método alternativo para a identificação de fontes de correntes harmônicas comumente encontradas em sistemas elétricos residenciais. Desta identificação, soluções viáveis poderão ser aplicadas com o intuito de mitigar os níveis de emissão das correntes harmônicas geradas, principalmente, por cargas com características não lineares. Para a identificação empregou-se redes neurais artificiais (RNAs), sendo esta técnica inteligente, apresentada como uma alternativa aos métodos convencionais. Os resultados reportados neste contexto procuram validar a proposta apresentada com dados experimentais obtidos em ensaios laboratoriais.
Title in English
Identification of harmonic current sources with artificial neural networks
Keywords in English
Artificial neural networks
Harmonic components
Identification of harmonic sources
Abstract in English
This work presents an alternative method for the identification of current harmonic sources commonly encountered in residential electrical systems. For this purpose, feasible solutions can be applied to minimize the levels of harmonic currents emission caused by nonlinear loads. Artificial neural networks are employed as alternative to conventional methods. The experimental results will be reported in order to validate the proposal presented with the experimental data obtained in laboratory.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
Ricardo.pdf (1.21 Mbytes)
Publishing Date
2009-06-02
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
CeTI-SC/STI
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2024. All rights reserved.