Optimization of Air-Coal Distribution System for 1000MW Thermal Power Unit Based on Data Mining

Abstract

At present, the operation adjustment of the power distribution system of the power station boiler mainly relies on the experience of the operators and the optimization and adjustment test, neither of them can be economically and flexibly adapted to the current situation of complex boiler combustion conditions and strict environmental protection indicators. To reduce the NOx generated by pulverized coal combustion in the furnace, this paper effectively combines the big data mining technology with the boiler combustion system based on the best ratio of coal-air. Taking the double-cut circular boiler designed by a 1000MW thermal power unit as an example, we use Apriori algorithm to mine the association rules in historical operation data and develop software to guide the operation of the operator. By calculating, the NOx content of the SCR inlet after adopting the optimization scheme is reduced by about 17%. Combined with the “cost-benefit analysis of denitration technology” spectrum, the denitration cost is reduced by about 200, 000 yuan per month.