Adaptive power system stabilizer using a bang-bang pole-placement strategy

Abstract

Power system stabilizers have been widely used and successfully used for the improvement of generator and power system damping. However, a fixed parameter system stabilizer tends to be sensitive to variation in generator dynamics so that, for operating conditions away from those used for design, the effectiveness of the stabilizer can be greatly impaired. A self-adaptive power system stabilizer is introduced based on a bang-bang pole-shifting approach and a second-order predictive model. The resulting controller provides a highly effective aid to system damping at a low computational cost, and the capabilities of the stabilizer are demonstrated by both digital simulation and real time tests on a micro-alternator system.