DocumentCode :
3863569
Title :
Evaluation of three-phase voltage dips classification algorithms based on computational intelligence
Author :
J. Strack;I. Carugati;C. Orallo;P. Donato;S. Maestri;J. Su?rez
Author_Institution :
Instituto de Investigaciones Cient?ficas y Tecnol?gicas en Electr?nica (ICYTE) Universidad Nacional de Mar del Plata, CONICET, Mar del Plata, Argentina
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
In this paper are evaluated three different three-phase voltage dip classification algorithms developed by the authors. All them are based in the information provided by a sequence detector developed in a previuos work. The first algorithm is a logical classifier, the second it is based on fuzzy logic, and the third algorithm is a neural network adequately trained for this purpose. This evaluation is part of a wider work, and it will be used to the potential development of a power quality monitor. The performance of the algorithms under test in the classification of voltage dips, in ideal conditions and with variations in the phase and frequency, and high harmonic content is assessed. The conclusions of this analysis are the basis for the development and implementation of some of the functions of this instrument.
Keywords :
"Classification algorithms","Voltage fluctuations","Detectors","Fuzzy logic","Neural networks","Electric potential","Harmonic analysis"
Publisher :
ieee
Conference_Titel :
Information Processing and Control (RPIC), 2015 XVI Workshop on
Type :
conf
DOI :
10.1109/RPIC.2015.7497065
Filename :
7497065
Link To Document :
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