Identification of nonlinear refined model for hydraulic turbine regulating system based on Ant-Lion algorithm

Accurate mathematical model of hydro turbine governing system is of great significance for hydro generator unit simulation and power system stability evaluation. In this paper, a nonlinear simulation model of the hydraulic turbine governing system is established, which includes four parts: the water diversion system, the hydraulic turbine system, the governor system and the generator system, and takes into account the elastic water hammer effect and the coupling noise disturbance of the hydro electromechanical system, and a theoretical framework of parameter identification based on intelligent optimization algorithm is established. Several core parameters of the model are identified online based on ant lion optimization algorithm. The simulation results show that the proposed algorithm has good optimization effect in the parameter identification of hydraulic turbine regulation system, high identification accuracy, fast speed, easy implementation and versatility, which brings new ideas and methods for the parameter identification of hydraulic turbine regulation system and other complex system models.