Genetic programming approach for model structure determination of hydro turbine in closed loop operation

This paper addresses the appropriate structure selection of linear-in parameter model for speed identification of hydro turbine. The genetic programming (GP) approach with parameters determined by orthogonal least square (OLS) is adopted in the study. The simulation of second order H infinity turbine penstock dynamic transfer function in closed loop with random load variation is performed to generate data for model structure determination. The data generated from among the available PID variants, forward rectangular controller in conjunction with online identification algorithm, LSMADF provided the best model structure.