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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Antioquia
2008
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| Online Access: | https://www.redalyc.org/articulo.oa?id=43004511 |
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Table of Contents:
- Oscillation Control in a Synchronous Machine using a Neural based PSS Sandra Milena Pérez Londoño Juan José Mora Flórez Alfonso Alzate Ingeniería neural nets synchronous machine Power system stabilizer 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. 2008 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43004511 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.45