Neural block control for synchronous generators

Authors:
Ramon A. Felix;Edgar N. Sanchez;Alexander G. Loukianov
Affiliations:
Facultad de Ingenieria Mecanica y Electrica, Universidad de Colima, CP 28400, Coquimatlan, Colima, Mexico;CINVESTAV, Unidad Guadalajara, A.P. 31-438, Plaza La Luna CP. 45091, Guadalajara, Jalisco, Mexico;CINVESTAV, Unidad Guadalajara, A.P. 31-438, Plaza La Luna CP. 45091, Guadalajara, Jalisco, Mexico
Venue:
Engineering Applications of Artificial Intelligence
Year:
2009

Citing 8
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Abstract

In this paper, a novel approach to control a single generator, connected to an infinite bus, is presented. Modifying published results for nonlinear identification using recurrent neural networks, a block controllable neural identifier is proposed, based on this neural model a control law is derived, which combines sliding modes and block control. The neural identifier and the proposed control law allows to reject external disturbances caused by generator terminal short circuits and mechanical power variations. Applicability of the approach is tested via simulations.