ABSTRACT
The parameter identification of steam turbine and its regulating system is of great value to the analysis of power grid stability. Parameter identification of turbine electro-hydraulic servo and actuator systems is an important part, and its identification error is strictly limited by relevant industry standards. The current error algorithm is greatly affected by human judgment and the data processing efficiency is low, which requires improvement. In this paper, the algorithm optimization of the parameter identification error of the turbine electro-hydraulic servo and actuator system is completed based on the slip window sampling method, and the visualization of the program is realized through the Python language. The calculation process of this method is rapid, the calculation results are accurate, and the standard requirements are met.
