Intelligent identification method for hydroelectric generating set model

Abstract

The invention discloses an intelligent identification method for a hydroelectric generating set model. The intelligent identification method comprises the steps of: creating a corresponding identification system model according to a water turbine speed regulation system, acquiring an actual response signal outputted by the water turbine speed regulation system under the excitation of a given inputsignal, and acquiring an analog response signal outputted by the identification system under the excitation of the given input signal; defining a difference value between the actual response signal and the analog response signal as a target function, and performing iterative optimization on to-be-identified parameters by adopting a whale optimization algorithm to minimize the target function to obtain optimal identification parameters of the hydroelectric generating set; and increasing the global search probability by balancing random search and optimal search in the iteration process. According to the intelligent identification method, the global search probability is increased in the traditional whale optimization algorithm, immune operators are fused, the search space is adjusted by adopting a self-adaptive correction method, the optimization efficiency is improved, the intelligent identification method has the advantages of high convergence speed, short calculation time and high efficiency, and the identification precision is effectively improved.

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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