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Indexed by:会议论文

Date of Publication:2017-05-28

Included Journals:EI、CPCI-S

Page Number:119-124

Key Words:blast furnace gas; probability of sufficiency; dynamic causal diagram; scheduling

Abstract:Blast furnace gas (BFG) is one of the important secondary energy in the iron and steel enterprises. The reasonable use of BFG can raise economic profit and alleviate the environment pollution. The existing scheduling mode may cause not only a waste of gas, but also additional operations for compensating the inadequate initial scheduling. In this study, a dynamic causal diagram and constraint-based scheduling method is proposed to calculate the scheduling amount in order to overcome the drawbacks. Probability which is used to calculate the sufficiency of the continuous data is defined along with the computing method so as to select the most related variables to the gas tank level. Furthermore, a dynamic causal diagram for BFG system is established according to the selected variables, and an objective function based on the difference between BFG generation and consumption is constructed as well as the inequality constraints of the related variables for calculating the scheduling amount. The experiments using real practical data coming from a steel plant in China indicate that the proposed method can effectively improve the scheduling accuracy and reduce the gas diffusion.