The invention relates to the technical field of
biomass fire
coal blending
combustion, in particular to an intelligent adjusting feeding
system and method for boiler blending
combustion of low-carbon
biomass fuel based on deep peak shaving, and the
system comprises a
powder preparation storage unit, a transportation feeding unit, a collection unit, a prediction unit, a controller and a regulation and
control unit. Wherein the prediction unit is used for cooperatively predicting the optimal pulverized
coal feeding amount and the optimal
biomass powder feeding amount based on a neural network prediction model and an optimization
algorithm; and the regulation and
control unit automatically regulates the opening degree of the valve according to the calculation result of the PID
algorithm, so that the intelligent regulation of the feeding amount of the pulverized
coal and the biomass
powder is realized. According to the method,
machine learning and an optimization
algorithm are applied, accurate adjustment of the feeding amount of the pulverized coal and the biomass powder is achieved, the
combustion efficiency is improved, and
pollutant emission is reduced; in addition, the biomass blending combustion proportion is accurately adjusted through real-time monitoring and
intelligent control technologies, the stable combustion capacity of the unit is remarkably improved under the low-load condition, and the peak regulation depth is remarkably optimized and improved.