A closed-loop identification method for hydroelectric unit parameters

Abstract

The invention discloses a closed-loop identification method for hydropower unit parameter. The method comprises the steps that an actual hydraulic turbine speed-regulation closed-loop system model isestablished, and a corresponding identification system model is determined; an objective function and / or an identification strategy of the hydropower unit parameter identification are determined; excitation signals are inputted in an actual system and an identification system, the output signal of the actual system and the standard signal of the identification signal are acquired; the objective function is used for preprocessing the output signal and the standard signal; an improved antlion algorithm is adopted to conduct a parameter identification to the hydraulic turbine speed-regulation closed-loop system according to a preprocess result; the optimal identification parameter of the a hydropower unit is acquired according to the identification strategy. Based on a standard improved antlion algorithm, a particle swarm optimization algorithm is integrated, a chaotic logistic mutation operator is introduced, a new particle is acquired by adopting the method of combining parallel and serial ways in the process of chaotic variation, so that the standard antlion algorithm is improved. The closed-loop identification method for hydropower unit parameter has the advantages of being high in convergence rate, easy in realization, strong in universality, and the identification accuracy is improved effectively.

Description

technical field [0001] The invention belongs to the technical field of water turbine regulating system model modeling and parameter identification, and in particular relates to a method for closed-loop parameter identification of a hydroelectric unit. Background technique [0002] The hydraulic turbine speed control system is one of the important components of the hydropower station and the power grid system. It plays an important role in hydropower generation, peak regulation and frequency regulation, and ensuring the safe, effective and economical operation of the power station. In order to reasonably set the parameters of the turbine governor and accurately analyze the stability characteristics of the system, it is necessary to study the detailed model of the turbine governor system. Among them, identification is an effective means to obtain the model. In actual situations, the turbine speed control system is a control system with non-minimum phase, nonlinearity and comp...

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Problems solved by technology

The method of the technical solution of the present invention, aiming at the situation that the current antlion optimization algorithm has insufficient convergence speed and accuracy, the technical solution of the present invention combines the particle swarm algorithm to speed up the convergence speed; introduces the chaos Logistics mutation operator, and in the chaos variation process Use a combination of parallel and serial methods to obtain new particles, increase the diversity of the population, and avoid falling into local optimum prematurely

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