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Research on Software Implementation of Human Reliability Analysis in Power System

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Abstract:

Human error has become a serious threat to the power system operation reliability and safety. As the research of human reliability in power system continues, some quantitative methods were proposed for the power operation safety assessment. In this paper, the implementation of a human reliability evaluation system for assessing the human reliability associated with power system operation is discussed. Firstly, the software architecture of the system is given. Then the detail function design is presented. Practical experiences show that the system could be a useful tool and have an extensive application prospect.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

1071-1074

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.1071

Citation:

Cite this paper

Online since:

September 2014

Authors:

Jun Xi Tang, Ying Kai Bao, Peng Jia Shi, Wen Hai Liu, Tai Ping Wang, Chuang Xin Guo

Keywords:

Human Error, Software, Software Architecture

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] Y.J. Guo, Reliability of power systems and power equipment, Automation of Electric Power Systems. 25(2001)53-56.

Google Scholar

[2] C.X. Guo, H.B. Lu, B. Yu, et al. A Survey of Research on Security Risk Assessment of Secondary System. Power System Technology, 37(2013) 112-118.

Google Scholar

[3] Williams J C. A data-based method for assessing and reducing human error to improve operational performance. Human Factors and Power Plants, Conference Record for 1988 IEEE Fourth Conference on. IEEE, (1988)436-450.

DOI: 10.1109/hfpp.1988.27540

Google Scholar

[4] E. Hollnagel, Cognitive Reliability and Error Analysis Method. Elsevier, Ox-ford, (1998).

Google Scholar

[5] A.D. Swain, E.G. Henry. Handbook of human-reliability analysis with emphasis on nuclear power plant applications. Final report. No. NUREG/CR-1278; SAND-80-0200. Sandia National Labs. Albuquerque, NM (USA), (1983).

DOI: 10.2172/6392305

Google Scholar

[6] Reason J, Human error. Cambridge university press, UK. Cambridge, (1990).

Google Scholar

[7] H.B. Lu, M. Wang, C.X. Guo, et al. A quantitative method for human reliability in power system based on CREAM, Power System Protection and Control. 41(2013)37-42.

Google Scholar

[8] J.X. Tang, Y.K. Bao, L.C. Wang, et al. A Bayesian network approach for human reliability analysis of power system. Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific, Kowloon, Hong Kong, (2013).

DOI: 10.1109/appeec.2013.6837128

Google Scholar

[9] Y.F. Wen, S.F. Dong, B. Deng, et al. Software implementation of risk-based dispatch. Power and Energy Society General Meeting (PES), 2013 IEEE, Vancouver, BC, (2013).

DOI: 10.1109/pesmg.2013.6672751

Google Scholar

[10] Y.F. Wen, J.L. Cui, J.J. Zhang, et al. Design of a Security Risk Management System for Power System Dispatching and Operation Part One Concepts and Design of Architecture and Function. Automation of Electric Power Systems, 37(2013)66-73.

Google Scholar