Oscillation Control in a Synchronous Machine using a Neural based PSS

  • Sandra Milena Pérez-Londoño Universidad Tecnológica de Pereira
  • Juan José Mora-Flórez Universidad Tecnológica de Pereira
  • Alfonso Alzate Universidad Tecnológica de Pereira
Keywords: Power system stabilizer, neural nets, synchronous machine

Abstract

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.

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Author Biographies

Sandra Milena Pérez-Londoño, Universidad Tecnológica de Pereira

Grupo de Investigación en Calidad de Energía Eléctrica y Estabilidad (ICE3) Programa de Ingeniería Eléctrica

Juan José Mora-Flórez, Universidad Tecnológica de Pereira

Grupo de Investigación en Calidad de Energía Eléctrica y Estabilidad (ICE3) Programa de Ingeniería Eléctrica

Alfonso Alzate, Universidad Tecnológica de Pereira

Grupo de Investigación en Calidad de Energía Eléctrica y Estabilidad (ICE3) Programa de Ingeniería Eléctrica

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Published
2014-01-16
How to Cite
Pérez-Londoño S. M., Mora-Flórez J. J., & Alzate A. (2014). Oscillation Control in a Synchronous Machine using a Neural based PSS. Revista Facultad De Ingeniería Universidad De Antioquia, (45), 109-119. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/18118