Implementation of a voltage sag characterization based on a DSP platform
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Identificadores
URI: http://hdl.handle.net/10902/19558DOI: 10.24084/repqj04.418
ISBN: 84-609-6604-6
ISSN: 2172-038X
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Ortiz Fernández, Alfredo




Fecha
2006-04Derechos
© The European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)
Publicado en
Renewable Energy and Power Quality Journal (RE&PQJ), 2006, 1(4), 285-289
International Conference on Renewable Energies and Power Quality (ICREPQ’06), Palma de Mallorca
Editorial
European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)
Palabras clave
Power quality
Voltage sags
Fuzzy Logic
Digital signal processing
Resumen/Abstract
Voltage sags are nowadays the first power quality problem in the distribution power system. This work evaluates the real implementation of a voltage sag characterization based on a DSP platform. Several classification methods for voltage sags have been presented in the literature. Here the Bollen’s classification is tested. Automation of sag assessment is desirable because manual analysis may be quite difficult. Thus, the fuzzy logic technique is chosen for this aim. This logic system generalizes the classical two-valued logic for reasoning under uncertainty. The fuzzy algorithm was first tested by simulation and then it was translated into C code in order to be implemented in a DSP based measurement platform, obtaining a satisfactory result.
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