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Secondary voltage control based on adaptive neural pi controllers

TAPIA, RUBEN and RIVAS, IVAN and RAMIREZ, JUAN M. and CORREA.G, ROSA E. (2011) Secondary voltage control based on adaptive neural pi controllers. Dyna; Vol. 77, núm. 163 (2010); 194-200 DYNA; Vol. 77, núm. 163 (2010); 194-200 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

This paper’s aim is to present the performance of a Bspline neural network controller to regulate the reactive power provision from synchronous machines. Due to the fact that power systems work with nonstationary parameters and changing settings, adaptive control schemes are preferred. Control technology must ensure its performance in terms of power system’s operation to address the diversity of loads and the optimal utilization of the available resources. The B-spline neural network is an efficient tool to implement the adaptive control voltage, with the possibility of carrying out this task on-line taking into account the systems' nonlinearities. The reactive power dispatch is based on the premise that each machine must provide a proportion according to its nominal operating capacity. The applicability of the proposal is demonstrated by simulation on a 9buses 3-machines power system.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:Neural networks, adaptive PI parameters, online training.
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:27682
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :27 Junio 2014 18:53
Ultima modificación:27 Noviembre 2017 22:24
Ultima modificación:27 Noviembre 2017 22:24
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