The Variance Performance Evaluation And Parameter Optimization Of Thermal Power Plant Control System

Modern industry has stricter control quality requirements for control systems.Relevant studies have shown that most control loops work in poor performance for a long time,so it is of great significance for the correct evaluation and optimization of control system performance.In view of the fact that the operator of power plant control system can not really understand the quality of system control,based on the study of minimum variance theory,combined with the feedforward-feedback control model based on minimum variance control,the time series analysis method is applied to the control of power plant boiler water level output sequence evaluation analysis.Select the output sequence of a 48-hour water level control system of a power plant,and evaluate the performance of two load processes respectively,and compare the control quality of two load processes.The control scheme and principle of the cascade control system are described in detail.The control principle of the steam temperature control system is deduced in detail,and the evaluation principle of the minimum variance of the steam temperature control system is described.The multivariable time series analysis and comparison of actual steam temperature data under different load of units were carried out to evaluate their performance.The simulation model of water level control system is set up in simulation software.The selection operator,crossover operator and mutation operator of genetic algorithm are improved respectively.The improved algorithm is applied to the constructed water level control system to compare the disturbance test.The results show that the improved algorithm is superior to the traditional method in stability,convergence and convergence speed.