Research On The Optimization Technology Of Boiler Combustion In Power Plant Based On Intelligent Algorithm

With the rapid development of the national economy, energy and environmental issues is key problem that affects the sustainable development of economy. At present, the state attaches great importance to energy-saving emission reduction measures, modern coal-fired power plants facing to improve boiler efficiency and reduce the dual goals of pollutant emissions and NOx is the main source of power plant emissions of pollutants, so the power efficiency of equipment problems has become a very important work. The optimization of boiler combustion is one of the methods to solve the power production efficiency, and the optimization of the optimization of the various problems in the boiler system is the method of the power plant..At present, from the domestic boiler combustion optimization technology, but also on the situation of foreign technology, a lot of system solutions are introduced and used foreign mature technology for commercial applications, the optimization of combustion optimization control technology also made some achievements, but also needs to be further optimized to improve, how to solve our own boiler combustion optimization technology is currently in the field to be solved problem.Using BP neural network to establish the boiler combustion optimization control model, through genetic algorithm to boiler combustion optimization details of automatic analysis, and the algorithm is applied in boiler combustion efficiency of neural networks. Based on the carbon content in fly ash, exhaust gas temperature, NOx concentration and mixed the relationship between coal mixed burning of coal data and operation data, using optimization algorithm of oxygen and the secondary air damper opening degree of the regulating parameters corresponding to different target optimization. The results show that the optimization can to limit NOx row based on the concentration of improve combustion efficiency of the boiler, and through experiments verify the effectiveness of the optimized scheme for the, can provide certain reference for the dual optimization operation of boiler and coal scheduling ginseng in the future.