DocumentCode
2735848
Title
Safety assessment modeling for thermal power plants using hierarchical SDG-HAZOP method
Author
Zhang, ChunYang ; Zhang, Pei ; Yang, ZongXiao ; Song, Lei
Author_Institution
Inst. of Syst. Sci. & Eng., Henan Univ. of Sci. & Technol., Luoyang, China
Volume
3
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
144
Lastpage
148
Abstract
In order to prevent any accident from happening, a safety assessment modeling approach combined with analytical hierarchy process (AHP), signed directed graph (SDG) and hazard and operability (HAZOP) is proposed for thermal power plants in this paper. AHP is used to divide the production equipments for thermal power plants into several hierarchies and it can simplify the modeling difficulties by using the hierarchy structure. SDG is applied to model cause and effect behavior of production equipments for thermal power plants. HAZOP analysis is implemented to locate the propagation paths of deviation to equipments, and a modeling technique for safety assessment, named hierarchical SDG-HAZOP, is constituted. This modeling approach can provide early warning information of accident for thermal power plants. Finally, the correctness and applicability of the proposed approach was testified successfully by a deaerator process.
Keywords
power system security; power system simulation; thermal power stations; analytical hierarchy process; deaerator process; hazard and operability; production equipments; safety assessment modeling; signed directed graph; thermal power plants; Accidents; Fault diagnosis; Hazards; Power engineering and energy; Power generation; Power system modeling; Production equipment; Safety; Systems engineering and theory; Thermal engineering; Analytical hierarchy process (AHP); Hazard and operability (HAZOP); SDG-HAZOP model; Safety assessment; Signed directed graph (SDG);
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358218
Filename
5358218
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