A Parameter Identification Method for Water Turbine Regulating System

Abstract

The invention relates to a water turbine regulating system parameters identification method. The method is characterized by comprising the following steps of (1), establishing a synchronous motor model according to a to-be-identified water turbine generator set speed regulating system, and obtaining actual output of the to-be-identified water turbine generator set speed regulating system through field tests under the conditions that various disturbing quantity is input; (2) using a water circulation algorithm, based on an established simulation system model of the water turbine generator set speed regulating system and the obtained various disturbing quantity inputs and actual outputs, performing parameter identification of the water turbine generator set speed regulating system to obtainresults of the parameter identification the water turbine generator set speed regulating system. The method has high parameter identification precision, can quickly and accurately identify parametersof each link of a water turbine controlled system, has few parameters to be manually set, has faster convergence rate and identification precision than a traditional PSO algorithm, and can be widely applied to the parameter identification field of the water turbine generator set.

Description

technical field [0001] The invention relates to a parameter identification method of a water turbine regulating system, belonging to the field of parameter identification of a water turbine regulating system. Background technique [0002] The water turbine regulation system is the core part of the unit control system, and its performance determines the safety and stability of the power system. Improper setting of the parameters of the hydraulic turbine regulation system will seriously affect the performance of the frequency regulation function of the hydroelectric unit. Only by mastering the system operation laws well and setting appropriate parameters can the control performance of the hydraulic turbine regulating system be effectively improved, thereby ensuring the safety of the power grid and its operation stability. [0003] At present, PSASP and BPA are commonly used power system stability calculation and analysis software in China, but the speed control system model i...

AI Technical Summary

Problems solved by technology

Among them, the genetic algorithm needs to perform replication, crossover and mutation operations, the evolution rate is slow, it is prone to premature convergence, and its performance has a large dependence on the parameters; the particle swarm optimization algorithm is easy to fall into the local optimal solution, resulting in premature phenomenon, And the optimization performance has a great dependence on the parameter setting

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