Modelling and control of pulverizing system considering coal moisture. (1st February 2015)

• Record Type: Journal Article
• Authors: Zeng, De-Liang; Hu, Yong; Gao, Shan; Liu, Ji-Zhen
• Is Part Of: Energy. Volume 80:(2015)
• Page Start: 55
• Page End: 63
• Publication Date: 2015-02-01
• Subjects: Dynamic model -- Coal moisture -- Pulverized coal moisture -- Genetic algorithm -- Extended Kalman filter; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2014.11.042
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The pulverizing system serves an important function in the safe and efficient operation of thermal power units. The effect of coal moisture and pulverized coal moisture on the pulverizing system was considered in establishing a mass and energy balance-based dynamic mathematical model of a coal mill. The parameters of the model were identified by using the genetic algorithm and later validated with measurements. An extended Kalman filter was designed to estimate and verify the internal states of the coal mill. Based on the dynamic mathematical model of coal mill, pulverized coal moisture was used as a feed-forward signal, and a feed-forward compensation controller was designed to optimize the coal mill outlet temperature. Simulation results showed that the dynamic characteristic of the mill can be forecasted effectively with the established model. Moreover, pulverized coal moisture was reduced with feed-forward compensation, thereby improving the efficiency of the boiler. Highlights: A simplified dynamic model of an MPS medium-speed coal mill is established. Dynamic characteristic of pulverized coal moisture is analyzed. Optimization of outlet temperature is designed basing on pulverized coal moisture.