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Method for correcting dynamic working condition data of thermal power generating unit

A technology for steady-state working conditions and working conditions, which is applied in the field of dynamic data correction of thermal power units, can solve the problems of small number of steady-state samples and unbalanced working condition distribution, and achieves the effects of low price, improved utilization, and high speed.

Active Publication Date: 2021-09-07
SOUTHEAST UNIV
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Problems solved by technology

[0005] This disclosure provides a correction method for dynamic working condition data of thermal power units, and its technical purpose is to disclose a dynamic Process data correction method to obtain a large number of steady-state samples, so as to solve problems such as unbalanced distribution of working conditions

Method used

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  • Method for correcting dynamic working condition data of thermal power generating unit
  • Method for correcting dynamic working condition data of thermal power generating unit
  • Method for correcting dynamic working condition data of thermal power generating unit

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Embodiment Construction

[0020] The technical solution of the present disclosure will be described in detail below in conjunction with the accompanying drawings. In the description of the present application, it should be understood that the terms "first" and "second" are only used for descriptive purposes, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the number of indicated technical features, It is only used to distinguish different technical characteristics.

[0021] figure 1 It is a flow chart of the correction method for thermal power unit dynamic working condition data described in this application, such as figure 1 As shown, the method includes:

[0022] S1: Preliminarily screen the first characteristic parameters related to system operation performance through mechanism analysis, and select the second characteristic parameters related to system operation performance indicators from the first characteristic parameters through the gray correl...

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Abstract

The invention discloses a method for correcting dynamic working condition data of a thermal power generating unit, which relates to the technical field of thermal power generating unit dynamic data correction, and solves the technical problems that the number of steady-state samples is relatively small and working condition distribution is unbalanced in the operation process of an existing thermal power generating unit. The method in the technical scheme is characterized in that historical operation data are obtained, through preliminary preprocessing such as steady state judgment and working condition division, adjacent samples similar to boundary parameters of a dynamic working condition sample to be corrected in all steady state working condition samples are screened out through a distance threshold value, and correction coefficient estimation is carried out based on a least square method and a kernel density weighting method. And finally, a state parameter value and a performance index value of the corrected dynamic working condition sample are calculated by taking the historical closest steady-state working condition with the minimum Minkowski distance as a reference. The method is higher in parameter stability and meets actual requirements of engineering; and the utilization degree of dynamic operation data is improved, and the problem that the data mining precision is limited due to unbalanced distribution of working condition samples can be effectively solved.

Description

technical field [0001] The present disclosure relates to the technical field of dynamic data correction of thermal power units, in particular to a correction method for dynamic working condition data of thermal power units. Background technique [0002] In thermal process data-driven modeling, steady-state samples become the main data source for model training due to their good regularity and less noise. However, in actual operation, due to the influence of peak shaving demand and changes in four seasons, external conditions such as unit load instructions and environmental factors are constantly changing, resulting in continuous fluctuations in unit operating parameters. Coupled with the influence of internal factors such as the intervention of artificial regulation of the power plant and the hysteresis characteristics of the thermal system, the frequency and magnitude of on-site data deviation will be further aggravated. It can be seen that the frequent and severe fluctuat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042Y04S10/50
Inventor 司风琪牟柯昱
Owner SOUTHEAST UNIV
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