Method for optimizing steam distribution curves of steam turbines on basis of data mining technologies
A data mining, steam turbine technology, applied in mechanical equipment, engine components, machines/engines, etc., can solve the problems of steam turbine load fluctuation, poor primary frequency modulation quality, load jump, etc., to achieve the effect of solving load fluctuations
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[0018] Such as figure 1 As shown, a kind of steam turbine distribution curve optimization method based on data mining technology described in the present invention comprises the following steps:
[0019] The first step is the historical data collection of the DCS system. Use the sampling measuring points installed in the steam turbine unit to collect real-time working condition data of the steam turbine unit within a certain period of time according to the sampling period.
[0020] As shown in Table 1, the data acquisition parameters of the present invention include: ref (total valve position command), load (unit load), mainpress (main steam pressure), 1STPRESS (adjustment stage pressure), MSTEAMFLOW (main steam flow), CV1POS ( #1 high-profile valve opening), CV2POS (#2 high-profile valve opening), CV3POS (#3 high-profile valve opening), CV4POS (#4 high-profile valve opening), MATCMSTEAMTEMPL (left side of main steam temperature), ATCMSTEAMTEMPR (main steam temperature steam...
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