Power System Stabilizer Redesign based upon Kalman Filter Parameter Estimation

The paper deals with the robust design of power system stabilizers. The growth of renewables imposes continuous verification and tuning of power system stabilizer parameters to comply with a satisfactory damping factor for general system behavior. The paper initially presents the dynamic model of the generator, including the automatic voltage regulator and the power system stabilizer of type PSS2B. The synchronous generator model is of the fourth order, which allows, with a sufficient degree of approximation, considering the impact of the damper windings. The power system stabilizer is then used to estimate the network parameters by injecting a probing signal and measuring the corresponding changes in active and reactive generated power. The parameter estimation procedure employs the Kalman filter to infer the optimal estimated values. The results of a numerical application are reported to highlight the feasibility of the redesign procedure and the accuracy of the estimation procedure.