基于改进混合黏菌天鹰算法的水电机组调节系统参数辨识OA

With the integration of wind farms,solar power plants and hydropower stations,the operating conditions of the hydropower unit regulating system(HURS)have become complex and difficult to obtain accurate models and specific parameters from the actual prototype.Therefore,parameter identification of HURS is key to its accurate modeling,which can provide support for optimization control and stability analysis of power systems.A hierarchical structure improved hybrid slime mould-aquila algorithm(HSMAA)was proposed and applied to solve the parameter identification problem of HURS under no-load and load conditions.A hierarchical search strategy was established based on the characteristics of the slime mold algorithm and the aquila optimizer to search for the optimal solution,which accelerated the convergence speed of the search for the optimal solution.The effectiveness of the proposed method was verified on multiple test functions.Moreover,a parameter identification strategy for HURS based on improved HSMAA was constructed.Simulation results verify the feasibility and effectiveness of the proposed method and compared with slime mold algorithm and aquila optimizer,HSMAA performs best in all evaluation indicators.