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Intelligent identification method for turbine adjustment system parameters

A regulation system and parameter identification technology, applied in control/regulation systems, general control systems, instruments, etc., can solve the problems of low accuracy, unfavorable power grid stability analysis and calculation, and unfavorable steam turbine speed regulation system model, etc. Efficiency and accuracy, the effect that is conducive to stability analysis and calculation

Inactive Publication Date: 2013-03-13
STATE GRID HUNAN ELECTRIC POWER CO LTD ELECTRIC POWER SCI RES INST +2
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional identification method of steam turbine regulating system parameters is manual identification. Due to the large amount of calculation in the parameter identification process, there is a large uncertainty in manual identification. Therefore, different identification personnel identify the same test data, and the possible obtained This situation is very unfavorable for establishing an accurate steam turbine speed control system model; in recent years, there have been computer identifications of steam turbine control system parameters using genetic algorithm, particle swarm optimization algorithm, or neural network algorithm , but only one of the algorithms can be selected for identification at the same time. Therefore, the identification results lack comparison and the accuracy is not high, which is not conducive to the analysis and calculation of power grid stability

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0016] (1), data denoising processing: configure MATLAB R2009a software, the MATLAB R2009a software has wavelet denoising function and least square method function, simplex method function, genetic algorithm function, simulated annealing algorithm function, particle swarm algorithm function, on-site Parameter test of the steam turbine regulating system to obtain the parameter test data of the steam turbine regulating system that will be used for parameter identification. Then using conventional methods, by the wavelet denoising function of the MATLAB R2009a software, the steam turbine regulating system parameter test data for parameter identification is denoised;

[0017] (2) Parameter identification using the least squares method: using the conventional method, through the least squares function of the MATLAB R2009a software configured in step (1), the denoised steam turbine regulating system parameter test data obtained in step (1) is processed Parameter identification to ob...

Embodiment 2

[0024] Steps (1)~(6) are the same as in Example 1;

[0025] (7) Intelligent selection of identification results: from the identification result data values ​​obtained in the above steps (2) to (6), delete the maximum and minimum values, and calculate the average of the remaining three identification result data values value, and the difference between the remaining three identification result data values ​​and the obtained average value. If any one of the three differences obtained is greater than 10% of the average value, there is at least one unreasonable identification result data value among the remaining three identification result data values, and the remaining three identification result data values ​​are taken as The intermediate value of is used as the final identification result data value.

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Abstract

The invention discloses an intelligent identification method for turbine adjustment system parameters. The method comprises the following steps of: (1) denoising data; (2) performing parameter identification by a least square method; (3) performing the parameter identification by a simplex method; (4) performing the parameter identification by a genetic algorithm; (5) performing the parameter identification by an analog annealing algorithm; (6) performing the parameter identification by a particle swarm optimization algorithm; and (7) intelligently selecting an identification result. By the method, test data of the turbine adjustment system parameter identification are subjected to wavelet denoising; the denoised data are subjected to the parameter identification respectively by multiple calculation methods; the identification result is intelligently selected; and therefore, the efficiency and the accuracy of the turbine adjustment system parameter identification are improved. The intelligent identification method is favorable for stability analysis and calculation of a power grid.

Description

technical field [0001] The invention belongs to the technical field of steam turbine modeling, and in particular relates to an intelligent identification method for parameters of a steam turbine regulating system. Background technique [0002] The parameter identification of the steam turbine regulation system can obtain the parameters of each link of the steam turbine regulation system model, so as to establish the corresponding model, which is of great significance to the stability analysis and calculation of the power grid. [0003] The traditional identification method of steam turbine regulating system parameters is manual identification. Due to the large amount of calculation in the parameter identification process, there is a large uncertainty in manual identification. Therefore, different identification personnel identify the same test data, and the possible obtained This situation is very unfavorable for establishing an accurate steam turbine speed control system mo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B17/02
Inventor 朱晓星盛锴刘武林寻新
Owner STATE GRID HUNAN ELECTRIC POWER CO LTD ELECTRIC POWER SCI RES INST
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