Composition modeling method for combustion system based on numerical simulation and test operation data

Abstract

The invention discloses a composition modeling method for a combustion system based on numerical simulation and test operation data, which belongs to the technical field of composition modeling during combustion of a utility boiler combustion system. The method comprises the following steps: a numerical simulation model of a target coal-powder boiler is built by adopting the three dimensional steady-state condition; according to a target model built by the LS-SVM, firstly applicable input variables are determined, and the value range of each input variable is determined; by utilizing the given sampled data group count of the orthogonal method and the value of each input variable, a variable list and testing data are obtained and the mechanism LS-SVM model is established; the LS-SVM model is updated according to the real-time data of the power plant. The method overcomes the defect that the data is single during the modeling of simple test data, updates the model by utilizing the data updated by the power plant in real time, effectively improves the precision of the LS-SVM model, and lays a foundation for optimization of the boiler combustion.

Description

technical field [0001] The invention belongs to the technical field of composite modeling of the combustion process of a boiler combustion system of a power station, and in particular relates to a composite modeling method of a combustion system based on numerical simulation and test operation data. Specifically, it is a composite modeling method that provides data with a numerical simulation model and combines unit test data and real-time operation data to establish an LS-SVM model. technical background [0002] Mechanism modeling is to derive a model from the basic laws of physics, that is, the principle of conservation and continuity of matter and energy proposed by various specialized disciplines, and the structural data of the system (equipment). The mathematical model obtained by this method is called the mechanism model, and the method of building the model is called the analytical method. Fluent software belongs to computational fluid software (CFD), which is used f...

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Problems solved by technology

At present, most of the models used for boiler combustion optimization in power plants are machine learning models such as neural networks and support vector machines. The modeling data is only boiler test data, and the data source is too single, and the test data cannot involve all working conditions, which will greatly affect the machine. Accuracy of the learned model

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