The research and test of boiler combustion control system determine the optimal control of boiler combustion adjustment scheme

make economic stability operation of the generator set

improve the efficiency of boiler combustion

and are one of the main targets of the power plant boiler optimization. Based on Daqing thermal power plant boiler operation data

aiming at the optimization of control circuit

by RBF neural network established steam pressure

flue gas oxygen content and furnace negative pressure for the output prediction model

we impvove the above three parameters prediction. The results show that the model established can reflect the characteristics of the boiler

and the foundation for the following optimal work.