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Method for identifying parameters of coal-fired power plant boiler superheater model

A technology of model parameters and identification methods, applied in the field of information processing, can solve the problems of insufficient model complexity and inaccurate object description, and achieve the effect of real-time identification, improved generalization ability, and easy acquisition.

Inactive Publication Date: 2014-05-14
SHANGHAI JIAO TONG UNIV +1
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Problems solved by technology

However, the model mentioned in this technology is not complex enough, and the description of the object is not precise enough

Method used

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  • Method for identifying parameters of coal-fired power plant boiler superheater model
  • Method for identifying parameters of coal-fired power plant boiler superheater model
  • Method for identifying parameters of coal-fired power plant boiler superheater model

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Embodiment Construction

[0036] In one embodiment of the present invention, the boiler superheater meets the following conditions:

[0037] A. The external heat flow is evenly distributed along the length and circumference of the tube;

[0038] B. The tube wall metal only considers radial heat transfer, not axial heat transfer;

[0039] C. The working medium in the tube is incompressible, and the parameters on the flow section are uniform;

[0040] D. Neglect the dynamic characteristics of the desuperheater;

[0041] E. Taking the superheater outlet parameter as the representative parameter of the lumped parameter model, the resistance is concentrated at the inlet.

[0042] For the boiler superheater of this embodiment, a method for identifying model parameters of a coal-fired power plant boiler superheater includes the following steps:

[0043] The first step is to establish a nonlinear lumped parameter model of the boiler superheater, and determine the known parameters and the parameters that nee...

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Abstract

The invention discloses a method for identifying parameters of a coal-fired power plant boiler superheater model. The method for identifying the parameters of the coal-fired power plant boiler superheater model comprises the steps that a non-linear lumped parameter model of a boiler superheater is built, and known parameters and parameters needing identifying are determined; dead pixel processing and data smoothing processing are carried out on the known parameters to obtain a known parameter real-time database; n training sample databases in different load sections are built, and normalization processing is carried out on the parameters; a corresponding RBF neural network model is built with respect to each training database, and the n RBF neural network models are connected in parallel to form a hybrid network; an actual measurement value of a superheater system at the current time is extracted, and on-line parameter identification is carried out on the RBF neural network models; the RBF neural network models are updated at a regular time interval t. The method for identifying the parameters of the coal-fired power plant boiler superheater model overcomes the defect that fixed parameters are adopted for a conventional superheater model, realizes real-time identification of model parameters, and guarantees the identification accuracy of the model parameters.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method for identifying model parameters of a coal-fired power station boiler superheater. Background technique [0002] Establishing a mathematical model for a boiler is a common method to obtain its dynamic characteristics, and the accuracy of the model is closely related to the overall optimal control of the boiler. With the increase of the capacity of the boiler unit, the required detection and control parameters increase, making the boiler structure gradually become more complex, which brings new challenges to the establishment of the model and the determination of the parameters. [0003] The superheater is an important part of the boiler, and its output variables, main steam temperature and main steam pressure, are important monitoring parameters of the system. Therefore, establishing an accurate mathematical model for it is a prerequisite for optimal contr...

Claims

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Application Information

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IPC IPC(8): G06N3/02G06N3/08
Inventor 王景成陈旭史元浩刘正峰袁景淇云涛屠庆徐青
Owner SHANGHAI JIAO TONG UNIV
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