Model updating method for on-line boiler combustion optimization

A combustion optimization and model update technology, applied in the direction of combustion control, comprehensive factory control, comprehensive factory control, etc., can solve the problems of not being able to use the learning results, shorten the calculation workload and time of model updating, etc.

Inactive Publication Date: 2009-08-05
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

This method overcomes the shortcomings of completely abandoning the existing model in the traditional update method and cannot use the learning results of the existing model, makes full use of the learning results of the existing model, and greatly reduces the computational workload and time of model updating

Method used

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  • Model updating method for on-line boiler combustion optimization
  • Model updating method for on-line boiler combustion optimization
  • Model updating method for on-line boiler combustion optimization

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Embodiment Construction

[0035] A model update method for boiler online combustion optimization, the specific steps are:

[0036] (1) Establish the prediction error database of the existing model. According to the specific boiler combustion conditions and the requirements for the prediction accuracy of the model, set the allowable prediction error limit δ of the model, and judge the error between the model prediction value and the actual operating value and the size of the allowable prediction error limit δ when collecting data, if The prediction error is greater than δ, ie |V c -V s |>δ, where V c is the predicted value of the model, V s For the actual operation data, the overrun data will be stored in the prediction error database for model update.

[0037] (2) Establish a new model. When the original model needs to be updated, the data in the prediction error database is used as the training sample, and the sample can be expressed as where x i Represents the i-th group of boiler operating p...

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Abstract

The invention relates to a method for updating a boiler on-line combustion optimization model. The method utilizes the data exceeding the predictive error limit of an exit model to build a new model, then utilizes combustion data of a boiler and an optimization algorithm to find an optimum new model and the weight coefficient of the existing model, and utilizes an optimum weight coefficient to combine the new model with the existing model so as to predict the working conditions of a new boiler for realizing model update. The invention overcomes the defects that the traditional update method gives up the existing model and can not utilize the study result of the existing model to fully utilize the study result of the existing model, thereby greatly reducing the amount and the time of the calculation work of model update.

Description

technical field [0001] The invention belongs to the technical field of information control and relates to incremental learning technology, in particular to a model update method for online combustion optimization of boilers. Background technique [0002] Combustion optimization of utility boilers is an important technical means for energy saving and emission reduction. Its goal is to obtain high-efficiency or low-pollution emission operating states by adjusting operating parameters such as boiler air distribution and coal supply. Many operating parameters of the boiler, such as air distribution, coal supply, and oxygen level, have a direct impact on the combustion state of the boiler. Different configurations of air distribution, coal supply and other operating parameters will directly lead to different boiler efficiencies and pollution the emission of gas. For a given power plant boiler, under certain load conditions, there is an optimal operation parameter configuration s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F23N5/00G05B19/418
CPCY02P90/02
Inventor 王春林葛铭王建中薛安克张日东
Owner HANGZHOU DIANZI UNIV
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