Parameter identification of turbine speed governing system by using genetic algorithm

The speed governing system is one of the main control systems of the turbine, the accurate model and parameter have great significance to the power system simulation calculation. The genetic algorithm(GA) is used for the parameter identification of the speed governing system in this paper. The best individual replacement is used to make the convergence rate of the algorithm faster. The type 4 governing PSASP model is developed for testing the GA with MATLAB and Simulink. The result proves the GA can achieve the parameter identification which has high simulation precision.