Model identification of combined desulfurization system based on improved PSO algorithm

Abstract

With the comprehensive promotion of the ultra-low emission and energy-saving renovation plans for coal-fired power plants, for the complexity of the combined SO2 removal system inside and outside the furnace of CFB units, the traditional identification method has the problems of slow convergence and low identification accuracy. Taking the combined desulfurization system inside and outside the furnace of a 300MW CFB unit of a meteorite power plant as the research object, using the actual operating data of the production system, the particle swarm optimization(PSO) algorithm based on adaptive weight is designed to establish the mathematical model of the desulfurization system inside and outside the furnace, which has reference value for energy saving and optimization of automatic control strategy in the combined desulfurization system