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A Method for Optimizing Steam Distribution Curve of Steam Turbine Based on Data Mining Technology

A technology of data mining and steam turbines, which is applied in the direction of mechanical equipment, engine components, machines/engines, etc., can solve the problems of steam turbine load fluctuations, poor quality of primary frequency modulation, load jumps, etc., and achieve the effect of solving load fluctuations

Inactive Publication Date: 2018-12-25
JILIN TONGYU WINDPOWER BRANCH OF HUANENG INT POWER DEV CORP +1
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the main actuator of the DEH system, the steam turbine valve is the main actuator of the DEH system. Excessive deviation of its flow characteristics will lead to problems such as steam turbine load fluctuations, poor quality of primary frequency regulation, load jumps, and long response time of the unit, which will eventually affect the safe and stable operation of the unit.

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  • A Method for Optimizing Steam Distribution Curve of Steam Turbine Based on Data Mining Technology
  • A Method for Optimizing Steam Distribution Curve of Steam Turbine Based on Data Mining Technology
  • A Method for Optimizing Steam Distribution Curve of Steam Turbine Based on Data Mining Technology

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Embodiment Construction

[0018] Such as figure 1 As shown, the method for optimizing the steam distribution curve of a steam turbine based on data mining technology according to the present invention includes the following steps:

[0019] The first step is to collect historical data from the DCS system. Using the sampling points installed in the steam turbine unit, the real-time working condition data of the steam turbine unit within a period of time is collected according to the sampling period.

[0020] As shown in Table 1, the data collection parameters of the present invention include: ref (total valve position command), load (unit load), mainpress (main steam pressure), 1STPRESS (regulation stage pressure), MSTEAMFLOW (main steam flow), CV1POS ( #1 high control valve opening), CV2POS (#2 high control valve opening), CV3POS (#3 high control valve opening), CV4POS (#4 high control valve opening), MATCMSTEAMTEMPL (main steam temperature left), ATCMSTEAMTEMPR (main steam temperature) Steam temperature on...

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Abstract

The invention discloses a method for optimizing steam distribution curves of steam turbines on the basis of data mining technologies. The method includes screening data by the aid of data screening algorithms according to large quantities of historical data accumulated in DCS (distributed control systems) and correcting main steam flow under different working conditions according to main steam flow correction formulas to obtain main steam flow under rated working conditions; carrying out clustering analysis on the corrected main steam flow, unit load, main valve location instructions and valve location values of various valves by the aid of data mining tools to obtain main steam flow, main valve location instructions and valve location values of the various valves and correcting steam distribution curves of the valves according to relations among original main valve location instructions and four adjusting valves to obtain novel steam distribution curves of the valves. The unit load is used as a mass center of the main steam flow, the main valve location instructions and the valve location values which are obtained by means of clustering analysis. The method has the advantages that the main valve location instructions and the main steam flow of the steam turbines can linearly change owing to the novel steam distribution curves of the valves, and accordingly the problems of fluctuation of existing unit load, poor quality of primary frequency regulation, load jumping, long response time of units and the like can be solved.

Description

Technical field [0001] The invention belongs to the technical field of steam turbine operation optimization, and relates to a steam turbine distribution curve optimization method based on data mining technology. Based on the historical data of the steam turbine DCS system, according to the data screening algorithm and cluster analysis technology, the steam turbine distribution curve is optimized to make the correspondence relationship between the total valve position command and the main steam flow more linear, and solve the load fluctuation of the unit and the primary frequency regulation Poor quality, load jumps, and long response time of the unit. Background technique [0002] Steam turbine is the most widely used prime mover in modern thermal power plants. Its valve flow characteristic curve is based on the original design. However, many old units in service, especially those that have undergone DEH transformation, turbine flow part transformation, or overhaul , It often hap...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F01D17/10
CPCF01D17/10
Inventor 李佳东吴宇胡勇王剑钊
Owner JILIN TONGYU WINDPOWER BRANCH OF HUANENG INT POWER DEV CORP
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