Revista Facultad de Ingeniería Universidad de Antioquia (Jan 2014)

Oscillation Control in a Synchronous Machine using a Neural based PSS

  • Sandra Milena Pérez-Londoño,
  • Juan José Mora-Flórez,
  • Alfonso Alzate

DOI
https://doi.org/10.17533/udea.redin.18118
Journal volume & issue
no. 45

Abstract

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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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