Identifying the Hydroturbine Models in Pumped Storage Power Station Based on Random Load Fluctuation

Model identification for large-scale hydroturbine with complex conduit system is very important to the quality of power system stability analysis and control. The PRBS method that is a traditional identification method is restricted to be applied in large-scale hydro-generating unit because the operation safety of hydro-generating unit would be affected if the parameters of PRBS are improper. An identification method based on random load fluctuation has been proposed in this paper and applied in Beijing Shisanling Pumped Storage Power Station that have ?′200MW generating capacity and complex conduit system with upper and lower surge tanks. This method uses extended least squares algorithm, its original data directly use the measurement data of generator terminal power and servomotor displacement under random load fluctuation when the generator is connecting to grid. The method has features of not requiring special outside exciting signals, not affecting normal operation of hydro-generating unit. It is safe and can be easily applied. The identified two orders models under three different load conditions are validated by step disturbance method and self-relation function method. The results show that the identified models are reliable and have strong adaptability of different load conditions.