Application Of The Principal Component Analysis Theory In Combustion Optimizing

At present, the firepower aircrew country electric power industry is still the main body. Power plant in coal consumption quantity is national coal production 20%, therefore, in nowadays green economy and low carbon life of the environment, implementation of boiler combustion optimization to improve the boiler efficiency, reduce the coal consumption has been imperative. Accuracy of Oxygen content measurement affected fuel and air ratio control, affect fuel complete combustion, relates to the discretion of the power plant of fuel consumption. Flame center position of power station safe and economic production plays a decisive role in the boiler operation, is a very important status quantizing parameters. In order to achieve the boiler combustion optimizing, improving the thermal efficiency of the boiler purpose, this paper using principal component analysis theory construction flue oxygen content model and flame center high position model. Firstly this paper boiler combustion optimizing adjustment in the process of oxygen not easy direct measurement of problem, collecting DCS database with oxygen, combined with the relevant signal principal component regression theory constructed flue gas oxygenated model, and combine power plant site data simulation validated by the principal component analysis theory in combustion optimizing the feasibility. Then this paper extraction DCS in the database for the flame detector signal intensity, using the principal component analysis method of main information extraction is constructed, in different load of the height of the flame furnace center position.