A self-tuning stabiliser for excitation or governor control of power systems

A method based on the minimization of a quadratic performance index, is proposed for designing a self-tuning power system stabilizer. In the method, a linear model for stabilizer design is chosen, and a conventional performance index is so modified that, upon minimization, the optimal control law possesses an additional derivative term not found in the conventional control law. The method utilizes the recursive least-squares algorithm for estimating the model parameters. Consequently, the stabilizer is self-tuning and is suitable for further stability enhancement of power systems. Simulation results show that the damping characteristics of a power system can be enhanced when the stabilizer is applied the excitation or governor loop