“Neural network based adaptive variable structure power system stabilizer”

(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
Divisions: College Of Engineering Sciences > Electrical Engineering Dept
Depositing User: AYHAM ZAZA
Date Deposited: 24 Mar 2008 16:35
Last Modified: 01 Nov 2019 16:24
URI: http://eprints.kfupm.edu.sa/id/eprint/699