Abstract
Abstract At present, the structure of power supply in China has changed, and the positioning of thermal power units has gradually changed from the original main power supply to the adjustable power supply for peak regulation and frequency modulation. Peaking unit need to respond quickly to load changes while also considering economic efficiency, which means setting operating parameters more accurately. Association rules have achieved good application effects in the data mining of thermal power plant operation data. This article uses the historical operation data of a certain 600MW unit to explore the relationship between operating parameters and coal consumption under various peak load conditions, and obtain the optimized values of operating parameters. The results indicate that optimized parameters can improve the economic efficiency of peaking unit, and have certain practical value for setting operating parameters of boilers in deep peaking unit.
Published Version
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