Boiler combustion optimizing method

Abstract

The invention relates to a method for optimizing combustion of a boiler. The combustion optimization of the prior boiler mainly depends on debugging stuffs to do experiments, thereby taking time and labor and obtaining limited parameter combinations. The method includes the following steps: collecting working parameters of the boiler and corresponding indexes characterizing the combustion characters of the boiler and building a real-time database; adopting an integrated modeling method supporting a vector machine to carry out modeling under the condition that the real work load is 60 percent smaller than the design load of the boiler and adopting a radial basis function neural network integrated modeling method to carry out modeling under the condition that the real work load is60 percentlarger than or equal to the design load of the boiler to build boiler combustion models with different indexes; and utilizing the particle swarm optimization algorithm and combining with the built models to optimize the combustion parameter setting of the boiler according to different combustion indexes or index combinations of the boiler. The invention improves the predictive ability of the integral model, greatly improves the predictive ability of the models, and carries out one-line optimization and off-line optimization.

Description

technical field The invention belongs to the field of information and control technology, relates to automation technology, in particular to a boiler combustion optimization method. Background technique Boiler combustion optimization is an important technical means for energy saving and emission reduction. Its goal is to obtain high efficiency, low pollution emissions and safer operating conditions by adjusting boiler air distribution, coal feeding and other operating parameters under certain boiler load conditions. The combination of operating parameters such as air distribution and coal supply of the boiler has a direct impact on the combustion state of the boiler. Different configurations of operating parameters such as air distribution, coal supply and oxygen amount will directly lead to different boiler efficiencies, pollutant gas emissions and In case of high temperature corrosion. For a given boiler, under certain load conditions, there is an optimal operating parame...

AI Technical Summary

Problems solved by technology

The combination of operating parameters such as air distribution and coal supply of the boiler has a direct impact on the combustion state of the boiler. Different configurations of operating parameters such as air distribution, coal supply and oxygen amount will directly lead to different boiler efficiencies, pollutant gas emissions and In case of high temperature corrosion

For a given boiler, under certain load conditions, there is an optimal operating parameter configuration scheme for different combustion indicators, which can optimize the corresponding combustion indicators. However, there is a very complicated coupling between the operating parameters of the boiler. relationship, it is not easy to find the optimal configuration of operating parameters

With the continuous advancement of science and technology, the degree of automation of boiler operation has been continuously improved, but the problem of boiler combustion optimization has not been well resolved.

In practice, the combustion optimization of boilers mainly depends on the commissioning personnel to conduct experiments under different working conditions. A large number of experiments are conducted to find good operating parameter configurations for specific boilers and coal types, so as to provide operators as a reference. This method is time-consuming. , Laborious, and the parameter combinations that can be tested are limited, so there is still a lot of room for improvement in the optimal parameter configuration found through debugging experiments, and this method cannot achieve online optimization according to the real-time changes of the boiler

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