Resumen

GIL MONTOYA, FRANCISCO; MANZANO-AGUGLIARO, FRANCISCO; GOMEZ LOPEZ, JULIO  y  SANCHEZ ALGUACIL, PEDRO. POWER QUALITY RESEARCH TECHNIQUES: ADVANTAGES AND DISADVANTAGES. Dyna rev.fac.nac.minas [online]. 2012, vol.79, n.173, pp.66-74. ISSN 0012-7353.

Nowadays, power quality (PQ) plays a very important role in power systems. So that is why it is very important to use suitable tools allowing a precise detection of anomalies and perturbations in power systems. Given traditional analysis techniques, such as Fourier Transform, today new tools are being developed based on domain transformation, such as Wavelet Transform (WT) or S-Transform (ST), along with Artificial Intelligence (AI) techniques such as Fuzzy Logic (FL) or Artificial Neural Networks (ANN). In this paper, new algorithm and mathematic techniques are reviewed and discussed, and also compared with traditional techniques, revealing the precision and superiority achieved with these new techniques. ST and WT is detailed, basically, as a tool with great scope and future in power quality analysis because of its precision, noise immunity and its contribution with quality information about PQ.

Palabras clave : power quality; S-Transform; Wavelet Transform.

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