A Parameter Identification Method for Water Turbine Regulating System

Abstract

The invention discloses a parameter identification method for a water turbine adjusting system to carry out effective identification on system parameters in the water turbine adjusting system. A simulation model is established according to the water turbine adjusting system, a target function adopting the weighted error square sum output by an actual system and an identification system to serve as parameter identification is established based on the simulation model, and by means of the designed optimization method, the target function is solved, and the optimal control parameter is obtained. According to the designed parameter identification method for the water turbine adjusting system, a new heuristic method optimization algorithm is applied to optimizing the target function, the smaller target function value can be sought, and the more accurate identification parameter can be obtained. By means of the more accurate identification parameter, the output of the corresponding identification system and the output of the corresponding identification system are well identical.

Description

technical field [0001] The invention belongs to the technical field of power system parameter optimization, and more specifically relates to a method for identifying parameters of a water turbine regulation system. Background technique [0002] The hydraulic turbine regulating system is an important part of the hydroelectric generating set, and its main task is to adjust the frequency and output of the generating set according to the change of the load. Parameter identification is an important modeling method suitable for systems with known model structure and unknown specific parameters. Its principle is: collect the output data of the dynamic process of the system and establish a simulation model of the system, and determine a set of parameter values ​​through a certain method. The simulation system response output obtained by the model calculation can best fit the actual system. Since the model parameters of the turbine regulating system often deviate from the typical wo...

AI Technical Summary

Problems solved by technology

Due to the shortcomings of traditional optimization methods such as PSO and GSA, which are premature and easy to fall into local extreme values, it may not be possible to search for the global optimal value when applying these algorithms in the process of parameter identification of the hydraulic turbine regulation system.

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