Software Educativo en Análisis Eventos de Calidad de Energía Eléctrica (Educational Software for Power Quality Analysis)

David De Yong (ddyong@ing.unrc.edu.ar), C. Reineri (ddyong@ing.unrc.edu.ar), Fernando Magnago (fmagnago@ing.unrc.edu.ar.)


Universidad Nacional de Río Cuarto
This paper appears in: Revista IEEE América Latina

Publication Date: Feb. 2013
Volume: 11,   Issue: 1 
ISSN: 1548-0992


Abstract:
This paper presents educational software that allows users to generate, detect and classify electrical power disturbance signals using a Wavelet Transform and Neural Networks based algorithm. This software includes four main modules: a) Signal Acquisition Module that allows the incorporation of waveforms stored in a data base; b) Generation Module which permits the generation of diverse disturbed waveforms; c) Detections Module provides tools to analyze different disturbance detection algorithms and d) Classification Module that determines the disturbance type using different pattern classification methods.

Index Terms:
Power Quality, Simulation Softwar,, Neural Network, Wavelet Transform   


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