(2002) “Neural network based adaptive variable structure power system stabilizer”. Int. J. Electrical Power & Energy Systems. (Submitted)

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Abstract

a power system stabilizer (PSS) of a single machine power system model has been designed using a neural network based variable structure controller ( VSC). The need for adaptive VSC comes from the fact that the power system model operates over a wide range of operating points, some of which are unstable, and hence no single VSC gains are sufficient for the entire operating range. Neural networks are used for on-line prediction of the suitable VSC gains when the operating point changes. Simulation results are included to demonstrate the performance of the proposed control scheme.

Item Type:	Article
Subjects:	Electrical
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	AYHAM ZAZA
Date Deposited:	24 Mar 2008 13:35
Last Modified:	01 Nov 2019 13:24
URI:	http://eprints.kfupm.edu.sa/id/eprint/699