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
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[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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