Abstract

PEREZ, Rómulo; MATOS, Enrique  and  FERNANDEZ, Sergio. Identification and validation of power transformers top oil temperature no lineal model by applying genetic algorithms. uct [online]. 2009, vol.13, n.53, pp.277-286. ISSN 1316-4821.

This paper presents a technique based on Genetic Algorithms for the identification and validation of the top oil temperature no lineal model in power transformers used in on line diagnosis and monitoring systems, installed in a 100 MVA 230/115/24 kV OA/FA/FOA transformer of Substation Barquisimeto ENELBAR Venezuela since 2003. The results of the identification by genetic algorithms are compared with identification by least-squares and measured top oil temperature. The results demonstrate a significant reduction of the mistake in the model when making the identification by genetic algorithms, which improves its performance like as power transformer diagnosis tool.

Keywords : Genetic Algorithms; Power Transformer; Identification; Diagnosis.