Research On Single-furnace Combustion Optimization And Multi-furnace Coordinated Control Method For Mother-controlled Boilers

In the actual operation of the header system boiler unit,there are some problems in either the single-boiler or the multi-boilers coordination.On the one hand,the combustion efficiency of the boiler is often low,and the emission of the NO_x is high.On the other hand,there are often problems such as unstable pressure in the header system and large coal consumption of the unit.Therefore,in this paper,the header system boiler unit of a thermal power plant in Daqing is taken as the research object,and the single boiler combustion optimization and multi-boilers coordination optimization are deeply studied.First of all,the main tasks of the boiler combustion control system are analyzed to adjust the coal supply system,the air supply system,and the air diversion system.According to the inadequacy of the plan,a model of boiler combustion system using neural network is proposed,and a Genetic Algorithm is used to optimize the combustion system of the boiler.Secondly,according to the combustion characteristics and control requirements of 220t/h boiler,the RBF neural network model of boiler combustion system is established by selecting reasonable input and output data.On this basis,aiming at improving boiler efficiency and reducing NO_x emissions,the objective function of boiler combustion optimization is designed and Genetic Algorithm is used to optimize.The optimal setting values of each control variable obtained by optimization are provided to the basic control layer of the boiler system,and the combustion optimization of single boiler is realized.Finally,using the field operation data to analyze the relationship between the header system and the steam load that needs to be adjusted when the pressure fluctuates,and the current total steam load required for header system is obtained.According to the coal consumption characteristics of the control boiler unit,the mathematical model of steam load distribution is set up and the two planning algorithm and genetic algorithm are used to allocate the total steam load to the boiler unit,so as to achieve the coordinated optimization of the multi furnace.The results of experimental simulation and actual operation show that the optimization method proposed in this paper is better for improving the efficiency of the boiler,reducing the NO_x emission,maintaining the steady pressure of the mother tube,and reducing the coal consumption of the unit.