A method for intelligent identification of hydroelectric unit model

Abstract

The invention discloses an intelligent identification method for a model of a hydroelectric unit. The method includes: creating a corresponding identification system model according to the speed control system of a water turbine, obtaining an actual response signal output by the speed control system of a water turbine under the excitation of a given input signal, and identifying The simulated response signal output by the system under the excitation of a given input signal; the difference between the actual and simulated response signals is defined as the objective function, and the whale optimization algorithm is used to iteratively optimize the parameters to be identified to minimize the objective function, and the hydropower The optimal identification parameters of the unit; in the iterative process, the global search probability is increased by balancing random search and optimal search; the present invention increases the global search probability in the traditional whale optimization algorithm, integrates the immune operator, and adopts the automatic The adaptive correction method is used to adjust the search space and improve the optimization efficiency. It has the advantages of fast convergence speed, less calculation time and high efficiency, and effectively improves the identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of water turbine parameter identification, and more specifically relates to an intelligent identification method for a hydroelectric unit model. Background technique [0002] Water is the source of life, and electricity is the guarantee of social development. Hydropower plants play a vital role in the supply of electricity for everyday life, industry and agriculture. Therefore, the research on hydro turbines is of great significance to the stable and safe operation of hydroelectric generating units. However, due to the complexity and nonlinearity of engineering systems, it is still difficult to obtain accurate models and parameters so far. The emergence of identification technology provides a new method to solve this problem, and has developed into one of the most critical research branches of hydraulic turbines. [0003] The identification of hydro turbines has come a long way in the past few decades. T...

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Problems solved by technology

[0005] At least one defect or improvement requirement of the prior art, the present invention provides a hydroelectric unit model intelligent identification method, in view of the fact that the current whale optimization algorithm has insufficient convergence speed and accuracy, a global search is added to the traditional whale optimization algorithm Probability, to avoid prematurely falling into the local optimum; fusion of immune operators, increase the diversity of the population; in the identification process, the adaptive correction method is used to solve the uncertainty of the estimated parameter range, adaptively adjust the search space, improve Optimize efficiency; greatly improve the reliability and accuracy of hydroelectric unit model identification

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