What is it about?
Due to the advantages of burning low quality coal (coal slime and coal gangue), furnace desulfurization, low NOx emission and deep load adjustment, the Circulating Fluidized Bed (CFB) combustion technology becomes one of the few fossil fuel utilization technologies funded continuously by the Chinese government. However, compared with the pulverized coal boiler, the combustion process of CFB boiler is more complicated because of the larger time delay, significant uncertainty and more coupled variables. In this paper, a data-driven PID (DD-PID) control strategy is presented for the combustion control of CFB boiler to improve the operating performance under full operating conditions. By analyzing the running mechanism of combustion process, an inverse decoupler is introduced to transfer the combustion object to the generalized controlled object, which has relatively independent input-output relationship. After that, a normative procedure of DD-PID, including PID-parameter database establishment, information-vector neighborhood selection, active PID-parameter determination, database update, and redundant vector deletion, is given. Finally, a series of case study, including numerical tests applied to the proposed combustion model and application test employed on 330MW CFB simulation platform, proves the feasibility of DD-PID control strategy.
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Why is it important?
Our research work is of great significance to improve the reliability and flexibility of thermal power unit operation and the utilization ratio of renewable energy power. The popularization and application of the results will help to promote the transformation and development of traditional Chinese thermal power generation.
Perspectives
Our research team has been working hard for many years in the field of thermal power generation modeling, control and optimization, and has not only achieved a lot of theoretical results, but also applied them to more than 100 large-scale thermal power units in China. It is hoped that our research results will be helpful to scholars and engineers in this field.
Fang Fang
North China Electric Power University
Read the Original
This page is a summary of: Data-Driven Control for Combustion Process of Circulating Fluidized Bed Boiler, IET Cyber-Physical Systems Theory & Applications, August 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-cps.2019.0029.
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