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Revista Facultad de Ingeniería Universidad de Antioquia
Print version ISSN 0120-6230On-line version ISSN 2422-2844
Abstract
PEREZ LONDONO, Sandra Milena; MORA FLOREZ, Juan José and ALZATE, Alfonso. Oscillation Control in a Synchronous Machine using a Neural based PSS. Rev.fac.ing.univ. Antioquia [online]. 2008, n.45, pp.109-119. ISSN 0120-6230.
This paper presents the methodological design and the laboratory test of neural net based power system stabilizer (PSS). The architecture of the proposed PSS uses two neural networks, one neural based controller which is used to generate a supplementary control signal to the excitation system, and an additional neural net used to improve the performance of the neural based controller. In order to guarantee the correct operation of the proposed PSS, it is trained by using data obtained from several machine operating conditions and a variety of disturbances. The effectiveness is demonstrated by testing the proposed approach in a real synchronous machine in a laboratory facility.
Keywords : Power system stabilizer; neural nets; synchronous machine.