Comparison of different integral performance criteria for optimal hydro generator governor tuning with a particle swarm optimization algorithm

Abstract

In this paper, the particle swarm optimization (PSO) algorithm with constriction factor approach (CFA) is proposed to optimal hydro generators governor Proportional-Integral-Derivative (PID) gains for small hydraulic transients. And four different integral performance criteria of turbine speed deviation such as integrated absolute error (IAE), integral of time weighted absolute value of error (ITAE), integral of squared error (ISE) and integral of time weighted squared error (ITSE) have been taken as fitness function respectively, and the differences have been investigated and compared. A step speed disturbance test on no-load operation has been performed. The digital simulation results show that the proposed PSO method has stable convergence characteristic and good computational ability, and it can effectively optimal hydro generators governor PID gains. And the dynamic performance of hydro generators governor system for small hydraulic transients is much better if ITAE criterion is applied as fitness function. © Springer-Verlag Berlin Heidelberg 2007.