PSS for multi-machine power system using adaptive ADALINE-identifier and pole-shift control

This paper proposes a ADAptive LINEar Neuron (ADALINE) identifier and a pole-shift controller to damp out multi-mode oscillations in power system. A five machine power system is used in the simulation studies. The generating units are represented by third order discrete ARMA models. ADALINE network is modeled so Chat its weights have a one-to-one relationship with the ARMA parameters. The weights an updated adaptively at each sampling interval to determine the characteristics of the actual system. The pole-shift control uses the on-line updated weights to calculate the closed-loop poles of the system. The unstable poles an moved inside the unit circle in the z-plane and the control is calculated so as to achieve regulation of the system to a constant setpoint in the shortest interval of time. Behavior of the adaptive power system stabilizer (APSS) and its coordination ability with other conventional PSSs (CPSSs) in the system an demonstrated. Copyright (C) 2000 IFAC.