Back
 EPE  Vol.5 No.4 B , July 2013
High-speed Railway External Power Supply Reliability Evaluation of Bayesian Network
Abstract: Reliability evaluation is important in high speed railway external power supply design, based on probability reasoning bayesian network applied in high-speed railway external power supply reliability evaluation, establish the minimum cut and the minimum path of bayesian network model, quantitative calculation external power supply system in each element posterior probability, and the example analysis verified the feasibility and correctness of the above method. Using bayesian network bidirection reasoning technology, quantitative calculation the posterior probability of each element in external power supply system, realized the identification of weak link in external power supply. The research methods and the results of the study can be used in the scheme optimization design of high speed railway external power supply.
Cite this paper: Z. Liang, M. Chen, G. Shang and B. Lv, "High-speed Railway External Power Supply Reliability Evaluation of Bayesian Network," Energy and Power Engineering, Vol. 5 No. 4, 2013, pp. 828-832. doi: 10.4236/epe.2013.54B159.
References

[1]   M. W. Chen, “The Reliability Assessment of Traction Substation of High Speed Railway by the GO Methodology,” Power System Protection and Control, Vol. 39, No. 18, 2011, pp. 56-61.

[2]   Y. Zhang, Z. Y. He and S. Lin, “A Power System Fault Diagnosis Method Based on DS Evidence Theory. Power System Protection and Control,” Vol. 36, No. 9, 2008, pp. 5-10.

[3]   Y. F. Xie, “Reliability Assessment of Distribution Systems Based on Bayesian Networks,” Baoding:Hebei Agricultural University, 2008.

[4]   H. F. Su, “The Bayesian Networks and It’s Application for Generation Systems Reliability Assessment,” Baoding : Hebei Agricultural University, 2004.

[5]   X. W. Yin, W. X. Qian and L. Y. Xie, “A Method for System Reliability Assessment Based on Bayesian Networks,” Aviation Journal, Vol. 29, No. 6, 2008, pp. 1482-1489.

[6]   Q. Z. Luo, S. Shi,Y. H. Zhang and W. J. Liu, “The Application of Bayesian Network in Reliability Assessment of Multi-state System,” Micro Computer Information, Vol. 26, No. 8-1, 2010, pp. 209-212.

[7]   L. M. Huo, Y. L. Zhu, G. F. Fan, et al., “A Method Based on Bayesian Network Power System Reliability Assessment of the New Method,” Automation of Electric Power Systems, Vol. 27, No. 5, 2003, pp. 36-40.

[8]   W. X. Yin, “Reliability Evaluation of Mechanical System Based on Bayesian Network,” Shenyang: Northeastern University. 2007.

[9]   B. Xie, M. Z. Zhang and Y. X. Yan, “Improve Faulty Tree Analysis by Bayesian Networks,” Journal of Yanshan University, Vol. 28, No. 1, 2004, pp. 55-58.

[10]   R. Billinton and S. Kumar, “A Reliability Test System For Educational Purposes,” IEEE Transactions On Power Systems, Vol. 4, No. 3, pp. 1238-1244. doi:10.1109/59.32623

 
 
Top