Modeling and parameters optimization in transient processes of governing system of large a pumped storage power station with long pipeline were studied. According to the actual parameters of a certain pumped storage power station, Matlab/Simulink toolbox was utilized for modeling and simulation of these subsystems. More specifically, friction resistance coefficient and water elasticity were taken into consideration in modeling of pressure diversion system with long water pipeline to accurately simulate hydraulic vibration characters in the pipeline. BP neural network and RBF neural network were adopted and compared in modeling of pump turbine to avoid the errors caused by dealing complex "S" characteristic curve of pump turbine. Based on the established pumped storage governing system simulation model, improved orthogonal experiment method was applied in parameter optimization and simulation of no-load frequency disturbance transient, load disturbance transition and load shedding transient of pumped storage governing system. According to the results, the established model can reflect the actual characteristics of pumped storage units to some extent, and improved orthogonal experiment method is efficient and effective in figuring out the best parameter group within the given scope. The results can provide guidance for modeling of governing system of large pumped storage units, and can set references and theoretical basis for actual optimal control of transient processes in pumped sto-rage units.
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