Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System
Joint Authors
Li, Xiao-Li
Li, Yang
Wang, Kang
Wang, Fuqiang
Cui, Guimei
Liu, Quanbo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-12
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Sulphur dioxide, as one of the most common air pollutant gases, brings considerable numbers of hazards on human health and environment.
For the purpose of reducing the detrimental effect it brings, it is of urgent necessity to control emissions of flue gas in power plants, since a substantial proportion of sulphur dioxide in the atmosphere stems from flue gas generated in the whole process of electricity generation.
However, the complexity and nondeterminism of the environment increase the occurrences of anomalies in practical flue gas desulphurization system.
Anomalies in industrial desulphurization system would induce severe consequences and pose challenges for high-performance control with classical control strategies.
In this article, based on process data sampled from 1000 MW unit flue gas desulphurization system in a coal-fired power plant, a multimodel control strategy with multilayer parallel dynamic neural network (MPDNN) is utilized to address the control problem in the context of different anomalies.
In addition, simulation results indicate the applicability and effectiveness of the proposed control method by comparing with different cases.
American Psychological Association (APA)
Li, Xiao-Li& Liu, Quanbo& Wang, Kang& Wang, Fuqiang& Cui, Guimei& Li, Yang. 2020. Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System. Complexity،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1142697
Modern Language Association (MLA)
Li, Xiao-Li…[et al.]. Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System. Complexity No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1142697
American Medical Association (AMA)
Li, Xiao-Li& Liu, Quanbo& Wang, Kang& Wang, Fuqiang& Cui, Guimei& Li, Yang. Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System. Complexity. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1142697
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142697