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Radial basis function network based power system stabilizers formultimachine power systems

Abido, M.A. and Abdel-Magid, Y.L. (1997) Radial basis function network based power system stabilizers formultimachine power systems. Neural Networks,1997., International conference, 2.

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Abstract

A radial basis function network (RBFN) based power system stabilizer (PSS) is presented in this paper to improve the dynamic stability of multimachine power systems. The proposed RBFN is trained over a wide range of operating conditions in order to re-tune the parameters of the PSS in real-time. Time domain simulations of a multimachine power system with different operating conditions subject to a three phase fault are studied and investigated. The performance of the proposed RBFN PSS is compared to that of conventional power system stabilizer (CPSS). The results show the good damping characteristics of the proposed RBFN PSS over a wide range of operating conditions



Item Type:Article
Date:June 1997
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Abido, M.A. and Abdel-Magid, Y.L.
ID Code:14313
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:31
Last Modified:12 Apr 2011 13:15

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