Parameter identification method for linear model of pump turbine

Abstract

The present invention discloses a parameter identification method for a linear model of a pump turbine. The method comprises the following steps: coupling an approximate elastic water hammer model ofa water diversion system, an IEEE six-parameter model of the pump turbine, a generator motor system model and a PID governor model to obtain a linear model of a pumped storage unit speed control system under the power generation condition, and constructing a linear mapping model of the pumped storage unit speed control system; determining the upper and lower boundaries of to-be-identified parameters of the pumped storage unit speed control system, and obtaining parameter identification sample data; using a BP nerve network method to train the parameter identification sample data, and establishing a BP neural network parameter identification model; and taking running measured data of the pumped storage unit speed control system as the input of the BP neural network parameter identificationmodel, and solving to obtain a parameter identification result of the pumped storage unit speed control system. According to the method disclosed by the present invention, not only linear model parameters can be determined easily and the accuracy of the data is relatively ideal, but also the method has the advantages of less difficulty in obtaining samples and better flexibility in selecting samples.

Description

technical field [0001] The invention belongs to the field of precise modeling of pumped storage units, and in particular relates to a method for identifying parameters of a linear model of a water pump turbine. Background technique [0002] The pump turbine is the core equipment of the pumped storage unit and the control object in the speed regulation system of the pumped storage unit. The basis of the related research on the dynamic response mechanism, control optimization and fault diagnosis of the speed regulation system of the pumped storage unit is the accurate description of the system model . Model parameter identification is an effective way to solve the precise expression of the unit speed control system model, and it is also a research hotspot in related fields, and the method research is gradually becoming mature. The domestic and foreign academic and engineering circles can divide the control system parameter identification methods of pumped storage units into t...

AI Technical Summary

Problems solved by technology

The determination of the parameters of the linear model has always been a difficult problem in the engineering field. The traditional method is to calculate the six coefficients of the linear model based on the comprehensive characteristic curve of the water turbine or the full characteristic curve of the pump turbine at a certain stable point. Linear model parameters are difficult to determine

However, with the long-term operation of the unit or after a major overhaul, the operating boundary of its working conditions will migrate, and the linear model parameters calculated based on the characteristic curve have certain limitations on the accurate description of the real-time operating state of the unit, and the accuracy of the data is not high. ideal

Therefore, in the existing identification methods for the control system parameters of pumped storage units, there are problems that the parameters of the linear model are difficult to determine and the accuracy of the data is not ideal.

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