Research on Optimization Method for Combined Operation of Slurry Circulating Pump in Wet Desulfurization System of Thermal Power Plant
As the slurry circulating pump traditionally relies on the experience of operators and lacks the means of fine management,resulting in high energy consumption during operation,this paper proposes a slurry circulating pump combined operation optimization method based on data mining.The fuzzy C-means(FCM)clustering algorithm is used to cluster the historical operation data with similar characteris-tics,and the energy consumption objective function is constructed with SO2 emission concentration at the chimney outlet as constraint,so as to screen the optimal pump combination in the clustering and form the historical working condition database.The light gradient boosting machine(LightGBM)classifier is trained by the database,and the intelligent optimal operation of pump combination is realized.The opti-mization method proposed in this paper is actually deployed in a 650 MW thermal power unit.The results show that compared with the traditional empirical operation mode,the desulfurization energy consumption is reduced by 6.6％on a month-on-month basis and 7.3％on a year-on-year basis,which proves the ef-fectiveness and practicability of the optimization method.
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