Oscillation Control in a Synchronous Machine using a Neural based PSS

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...

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Main Authors: Sandra Milena Pérez-Londoño, Juan José Mora-Flórez, Alfonso Alzate
Format: Article
Language:English
Published: Universidad de Antioquia 2014-01-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/18118
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author Sandra Milena Pérez-Londoño
Juan José Mora-Flórez
Alfonso Alzate
author_facet Sandra Milena Pérez-Londoño
Juan José Mora-Flórez
Alfonso Alzate
author_sort Sandra Milena Pérez-Londoño
collection DOAJ
description 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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spelling doaj.art-cf7681f123774da1912c1ecdfac620012023-03-23T12:33:38ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442014-01-014510.17533/udea.redin.18118Oscillation Control in a Synchronous Machine using a Neural based PSSSandra Milena Pérez-Londoño0Juan José Mora-Flórez1Alfonso Alzate2Universidad Tecnológica de PereiraUniversidad Tecnológica de PereiraUniversidad Tecnológica de Pereira 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. https://revistas.udea.edu.co/index.php/ingenieria/article/view/18118Power system stabilizerneural netssynchronous machine
spellingShingle Sandra Milena Pérez-Londoño
Juan José Mora-Flórez
Alfonso Alzate
Oscillation Control in a Synchronous Machine using a Neural based PSS
Revista Facultad de Ingeniería Universidad de Antioquia
Power system stabilizer
neural nets
synchronous machine
title Oscillation Control in a Synchronous Machine using a Neural based PSS
title_full Oscillation Control in a Synchronous Machine using a Neural based PSS
title_fullStr Oscillation Control in a Synchronous Machine using a Neural based PSS
title_full_unstemmed Oscillation Control in a Synchronous Machine using a Neural based PSS
title_short Oscillation Control in a Synchronous Machine using a Neural based PSS
title_sort oscillation control in a synchronous machine using a neural based pss
topic Power system stabilizer
neural nets
synchronous machine
url https://revistas.udea.edu.co/index.php/ingenieria/article/view/18118
work_keys_str_mv AT sandramilenaperezlondono oscillationcontrolinasynchronousmachineusinganeuralbasedpss
AT juanjosemoraflorez oscillationcontrolinasynchronousmachineusinganeuralbasedpss
AT alfonsoalzate oscillationcontrolinasynchronousmachineusinganeuralbasedpss