ONLINE ADAPTIVE STABILIZATION OF A TURBOGENERATOR

Power system stabilizers (PSS) have been widely used and successfully implemented for the improvement of generator and power system damping. However, a fixed parameter stabilizer tends to be sensitive to variat ions in generator dynamics so that, for operating conditions away from those used for design, the effectiveness of the stabilizer can be gre atly impaired. This paper introduces an adaptive power system stabiliz er based on self-tuning principles. It is based on implicit approach w hich enables the controller (PSS) parameters to be identified directly . The resulting controller provides a highly effective aid to system d amping at a low computational cost and its adaptive capabilities enabl es it to cope with widely varying operating conditions and dynamic cha racteristics. The capabilities of the stabilizer are demonstrated by b oth digital simulation and real time tests on a micromachine system.