Water Resources and Power

Due to the complex physical properties of hydroelectric units and governors, it is difficult to directly derive their model parameters in theoretically. Therefore, an improved fractional-order particle swarm optimization(FOPSO) algorithm is proposed. For the primary frequency regulation mode of hydraulic turbine control systems, the regulator model, servo system model, and unit controlled object model of the hydraulic turbine control systems are established based on the analysis of the physical structure and operating mechanism of the actual equipment. Then, the primary frequency regulation test data of the hydroelectric unit are preprocessed using wavelet threshold denoising, and the improved FOPSO algorithm is used to identify the parameters of each sub-model. Finally, the individual models are integrated into a whole for simulation verification. The results show that the improved FOPSO algorithm significantly improves the precision of parameter identification in the primary frequency regulation of hydroelectric units.