Submit Manuscript

Information Technology Journal

Year: 2014 | Volume: 13 | Issue: 16 | Page No.: 2593-2601
Research Article

Reliability Modeling and Structure Importance Analysis of Electric Power Station Distribution Control System

Jinlei Qin
Information and Network Management Center,North China Electric Power University, Baoding, 071003, China
Yuguang Niu
State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources,China
Zheng Li
Department of Computer Science and Technology,North China Electric Power University, Baoding, China
Aiming to the complexity of reliability model of Distributed Control System (DCS), a novel reliability modeling method has been put forward in this study. The method can be employed in many situations, especially in the case of DCS of electric power stations. The traditional reliability principles and the relative definitions of coherent system have been introduced as the foundations. Based on the structural and functional analysis of classical DCS, the overall structure of DCS which are normally seen as a repairable system in the real industrial productive process can been modeled as an un-repairable system according to some proposed approximating conditions. As an example, one whole DCS and its subsystems have been tackled to calculate their reliability indices. At the same time, one type of structure importance of DCS has also been computed based on the model. The values are of significant directive functions for the maintainance schemes of DCS.
PDF Fulltext XML References Citation

Leave a Comment

Your email address will not be published. Required fields are marked *

Article Trend

Total views 2814

References

  1. Anthony, M., R. Arno, N. Dowling and R. Schuerger, 2013. Reliability analysis for power to fire pump using fault tree and RBD. IEEE Trans. Ind. Applic., 49: 997-1003.
    CrossRef
  2. Barlow, R.E. and F. Proschan, 1975. Importance of system components and fault tree events. Stochastic Process. Applic., 3: 153-173.
    CrossRefDirect Link
  3. Damsker, D.J., 1991. Towards advanced concurrency, distribution, integration and openness of a power plant Distributed Control System (DCS). IEEE Trans. Energy Convers., 6: 297-302.
    CrossRef
  4. Gawand, H.L., N. Murali and P. Swaminathan, 2010. Reliability analysis by FMEA method for object oriented distributed digital control system design model of nuclear power plant. Proceedings of the 2nd International Conference on Reliability, Safety and Hazard, December 14-16, 2010, Mumbai, India, pp: 489-492.
    CrossRef
  5. Gupta, H. and J. Sharma, 1978. A delta-star transformation approach for reliability evaluation. IEEE Trans. Reliab., R-27: 212-214.
    CrossRef
  6. Hajian-Hoseinabadi, H., 2013. Availability comparison of various power substation automation architectures. IEEE Trans. Power Delivery, 28: 566-574.
    CrossRef
  7. Hajian-Hoseinabadi, H., M. Hasanianfar and M.E.H. Golshan, 2012. Quantitative reliability assessment of various automated industrial substations and their impacts on distribution reliability. IEEE Trans. Power Delivery, 27: 1223-1233.
    CrossRef
  8. Hemeida, A.M., M.Z. El-Sadek and S.A. Younies, 2004. Distributed control system approach for a unified power system. Proceedings of the 39th International Universities Power Engineering Conference, Volume 1, September 6-8, 2004, Bristol, UK., pp: 304-307.
  9. Huang, H., L. Nie, G. Pan and M. Xia, 2010. Application of active disturbance rejection control technology in distributed control system of coal-fired power generation. Proceedings of the 29th Chinese Control Conference, July 29-31, 2010, Beijing, China, pp: 6091-6094.
    Direct Link
  10. Kumamoto, H., K. Tanaka and K. Inoue, 1977. Efficient evaluation of system reliability by monte carlo method. IEEE Trans. Reliab., R-26: 311-315.
    CrossRef
  11. Fang, K., Y. Wang and J. Meng, 2010. Architecture design and analysis of a distributed test and control system based on new power supply system. Proceedings of the International Conference on Computer Application and System Modeling, Volume 11, October 22-24, 2010, Taiyuan, China, pp: 672-676.
    CrossRef
  12. Lapp, H., C. Gerber and H.M. Hanisch, 2010. Improving verification and reliability of distributed control systems design according to IEC 61499. Proceedings of the IEEE Conference on Emerging Technologies and Factory Automation, September 13-16, 2010, Bilbao, Spain, pp: 1-8.
    CrossRef
  13. Levitin, G., L. Xing, H. Ben-Haim and Y. Dai, 2013. Reliability of series-parallel systems with random failure propagation time. IEEE Trans. Reliab., 62: 637-647.
    CrossRef
  14. Lu, L. and L. Dong, 2009. Reliability prediction of an Ethernet Bus Interface Controller in a nuclear power plant simulator. Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, December 8-11, 2009, Hong Kong, pp: 832-836.
    CrossRef
  15. Muda, W.M.W. and A.M. Shakaff, 2002. Designing a fault-tolerant architecture for real-time distributed control system. Proceedings of the Student Conference on Research and Development, July 16-17, 2002, Shah Alam, Malaysia, pp: 23-26.
    CrossRef
  16. Natvig, B., A.B. Huseby and M.O. Reistadbakk, 2011. Measures of component importance in repairable multistate systems: A numerical study. Reliab. Eng. Syst. Saf., 96: 1680-1690.
    CrossRefDirect Link
  17. Vaurio, J.K., 2010. Ideas and developments in importance measures and fault-tree techniques for reliability and risk analysis. Reliab. Eng. Syst. Saf., 95: 99-107.
    CrossRefDirect Link
  18. Kuo, W. and X. Zhu, 2012. Some recent advances on importance measures in reliability. IEEE Trans. Reliab., 61: 344-360.
    CrossRef
  19. Williams, P.K., 1993. A distributed control system for control and protection of boiler plant. Proceedings of the IEEE Colloquium on Safety Critical Distributed Systems, October 21, 1993, London, UK., pp: 1-7.
    Direct Link
  20. Wu, S. and F.P.A. Coolen, 2013. A Cost-Based Importance Measure for System Components: An Extension of the Birnbaum Importance. Eur. J. Oper. Res., 225: 189-195.
    CrossRefDirect Link

Keywords