Research of Smart Gird Functional Safety Certification

Abstract:

With the increasing number of attacks against industrial control systems, functions security issues of the smart grid industrial control system gradually become the focus of research in the field of smart grid. This paper introduced smart grid industrial control systems threats which faced and incidents firstly, and analyzed the current situation of the functional safety certification, including certification bodies, certification tools and certification classes; Then, researched the smart grid industrial control system functional safety certification, gave the content of the smart grid industrial control system functional safety certification, and made the design of its hardware evaluation process; Finally, we discuss the research status of functional safety certification, and pointed out the problems that the smart grid industrial control system functional safety faces.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 3168-3173
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.3168
• Online since: December 2012
• Authors: Xiu Li Huang*, Tao Zhang, Yuan Yuan Ma, Yu Fei Wang, Ye Hua
• Keywords: Certification, Functional Safety, Industrial Control System, Smart Grid (SG)

References

[1] Jianguo Zhang. The Application of Safety Instrument Systems for the Process Industry Sector [M].Beijing: China Electric Power Press, 2010.

[2] Susheng Chen. LNG Carrier Cargo Safety System Designing Based on IEC61511 [D].Shanghai: Shanghai Jiaotong University,2009.

[3] Xueling Shi. History and Trend of Functional Safety Standard [J]. Instrument Standardization and Metrology, 2002,2.

[4] Rong Hua. Safety Related Standards, Assessment and Certification Bodies [J]. Instrument Standardization and Metrology .2008(2):20~23.

[5] [15]Kwan-Seong Jeong, Kune-Woo Lee, Hyeon-Kyo Lim. Risk assessment on hazards for decommissioning safety of nuclear facility[J]. Annals of Nuclear Energy, 2010, 37(12):1751-1762.

DOI: 10.1016/j.anucene.2010.07.002

[6] J.Beugin, D.Renaux, L.Cauffriez. A SIL quantification approach based on an operating situation model for safety evaluation in complex guided transportation systems[J], Reliability Engineering & System Safety,2007,92(12):1686-1700.

DOI: 10.1016/j.ress.2006.09.022

[7] Y.Dutuit, F.Innal, A.Rauzy. Probabilistic assessments in relationship with safety integrity levels by using Fault Trees [J]. Reliability Engineering & System Safety, 2008, 93(12):1867-1876.

DOI: 10.1016/j.ress.2008.03.024

[8] Hui Jin, Mary Ann Lundteigen, Marvin Rausand. Reliability Performance of safety instrumented systems: A common approach for both low-and high-demand mode of operation [J]. Reliability Engineering and System Safety, 2011(96):365-73.

DOI: 10.1016/j.ress.2010.11.007

[9] Haiao Guo, Xianhui Yang. Automatic creation of Markov models for reliability assessment of safety instrumented systems [J]. Reliability Engineering & System Safety, 2008, 93(6):829-837.

DOI: 10.1016/j.ress.2007.03.029

[10] A.C. Torres-Echeverria, S.Martorell, H.A. ThomPson. Modeling safety instrumented systems with MooN voting architectures addressing system reconfiguration for testing [J].Reliability Engineering & System Safety, 2011, 96(5):545-563.

DOI: 10.1016/j.ress.2010.12.003

[11] Yi Sang. Industrial control system reliability evaluation method [J]. Automation & Instrumentation, 2011, 1.

[12] Xiaosheng Feng. Confirmation Technology of SIL Based on Risk [J]. Instrument Standardization and Metrology, 2007, 3.

[13] Yao Liu. Application of Fault Tree Analysis in Safety Instrumented System [J]. Instrument Standardization and Metrology, 2010, 2.

[14] Wenze Xiong. Analysis and Application on Voting Structure for Functional Safety [J]. Instrument Standardization and Metrology, 2009, 4.

[15] JuliaV.Bukowski. Modeling and Analyzing the Effects of Periodic Inspection on the Performance of Safety-Critical Systems [J]. IEEE TRANSACTIONSON RELIABILITY, 2001, 50(3):321-329.

DOI: 10.1109/24.974130