Study On Intelligent Control Algorithm For Combustion System Of 1000MW Supercritical Unit

In the energy plan involved in the "14th Five-Year Energy Plan",it is clearly necessary to accelerate the promotion of green,low-carbon and clean energy and reduce pollution emissions.In terms of my country’s power energy structure,the proportion of thermal power remains the first.Among them,the mega-kilowatt supercritical thermal power unit is developing rapidly in our country.Whether it is in terms of installed capacity,economic benefits or energy loss,it is the general direction of thermal power development.This paper takes the combustion system of a 1000 MW thermal power unit as the controlled object,based on the identification of the particle swarm algorithm in the combustion system,and the fuzzy control algorithm to optimize the application of PID control in the thermal power unit.This research is in line with my country’s sustainable development strategy.First of all,it summarizes the characteristics of my country’s power energy,and introduces the development status and technical research status of domestic and foreign thermal power units.The application examples of intelligent algorithms and intelligent control algorithms in identification and control of thermal power units are listed;secondly,the working principles and characteristics of supercritical units are introduced,and the main tasks of the combustion system are summarized.List the main research objects of this article: three combustion subsystems,and structural analysis of the control loops of the three subsystems;in addition,intelligent identification combining mechanism modeling and intelligent algorithms is used to optimize the model parameters of the combustion system.Explains the intelligent identification algorithm mainly used in this article-particle swarm algorithm,its principle and specific implementation steps,and intelligently identifies the mathematical models of the three subsystems based on the collected historical data of a certain unit.Finally,the PID control parameter tuning method based on expert experience obtains the parameters of the traditional control scheme,and then elaborates the main control algorithm used in this article-fuzzy control,its mathematical theoretical foundation,structure composition and controller design method.Combining fuzzy control algorithm with traditional PID,and improving on the basis of traditional control scheme to form a new control scheme;based on Matlab simulation platform to carry out simulation research on supercritical combustion system,build traditional PID control loop and add fuzzy control algorithm after improvement PID control loop.Finally,the disturbance experiment was compared with the robustness experiment,and the qualitative and quantitative analysis proved the stability and rapidity of the fuzzy PID control.