Analysis of Flow Characteristics in Hydraulic Turbines Based on Modal Decomposition
Reversible pump-turbines are large commercial energy storage devices and the core units of pumped-storage power stations.The safety and stability of these units have always been of great concern,as their operational instability is often closely related to the internal flow mechanisms.Due to the high-dimensional nature of most information contained in the complex fluid motion,accurately extracting flow structures from complex flow fields and thoroughly investigating their intrinsic mechanisms remains challenging.This paper introduces two modal decomposition methods,Proper Orthogonal Decomposition(POD)and Dynamic Mode Decomposition(DMD),to reconstruct transient complex flow fields under turbine operating conditions and study the flow field structure characteristics in a low-dimensional form.The results show that both methods can effectively capture the main features of the flow field,validating the feasibility of using flow field modal decomposition methods for reduced-order reconstruction of complex flow fields.