Research on intelligent parameter identification, simulation and verification of steam turbine and its governing system

Abstract

Many softwares of parameter identification for steam turbine and its governing system in the country have been developed. However, these identification softwares lack quantitative and qualitative analysis on the accuracy of identified model parameters. Intelligent parameter identification and simulating verification for steam turbine and its governing system were studied, and a set of software was developed on Matlab/Simulink platform. Using the software, automatic analysis, allocation, denoising and per unit preprocessing of the raw data was realized based on the formats analysis of common raw data files in steam turbine and its governing system test. With polynomial fitting, least squares method, the simplex method, genetic algorithms and simulated annealing method, the software realized intelligent identification of the model parameters. A model of steam turbine and its governing system considering the impact of the generator side was established to improve the accuracy of simulation. Through automatically calculating simulation quality parameters, the software, achieved the quantitative and qualitative analysis on the accuracy of model parameters.