Parameter tuning of the conventional power system stabilizer by artificial neural network

Abstract

This paper presents parameter tuning of conventional power system stabilizer (CPSS) by artificial neural network (ANN). The ANN in the paper is radial basis function network (RBFN), whose parameters are chosen by adaptive orthogonal least squares (adaptive OLS) algorithm, to compensate error of linear model of power system where a fixed-parameter CPSS is… (More)

8 Figures and Tables

Topics

  • Presentations referencing similar topics