Bayesian estimation of overhead lines failure rate in electrical distribution systems

International Journal of Electrical Power and Energy Systems

Volumn 56, Issue , 2014, Pages 220-227

  Moradkhani, Amin ^a   Haghifam, Mahmoud R ^a   Mohammadzadeh, Mohsen ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Components reliability model; Data deficiency; Empirical Bayesian model; Hierarchical Bayesian Model; Overhead lines failure rate; Population variability

Indexed keywords

DATA DEFICIENCY; EMPIRICAL BAYESIAN; FAILURE RATE; HIERARCHICAL BAYESIAN MODELING; POPULATION VARIABILITY; RELIABILITY MODEL;

BAYESIAN NETWORKS; ELECTRIC POWER DISTRIBUTION; ESTIMATION; FAILURE ANALYSIS; OVERHEAD LINES; POPULATION STATISTICS;

PROGRAM PROCESSORS;

EID: 84889680602     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.11.022     Document Type: Article

References (24)

1. M.D. Catrinu, and D.E. Nordgård Integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management Reliab Eng Saf Syst 96 2011 663 670
2. S. El Oukaili, M. Schwan, and S. Federlein Investigations into the correlation of component failure rates to system supply availability in asset management methods Electr Eng 90 2009 569 576
3. Mehairjan RPY, Djairam D, Zhuang Q, Smit JJ, Van Voorden AM. Statistical life data analysis for electricity distribution cable assets - an asset management approach. 584 CP ed. London; 2011.
4. R.E. Brown, and B.G. Humphrey Asset management for transmission and distribution Power Energy Mag 3 2005 39 45 (Pubitemid 40680545)
5. J. Schneider, A.J. Gaul, C. Neumann, J. Hogräfer, W. Wellßow, and M. Schwan Asset management techniques Int J Elec Power Energy Syst 28 2006 643 654 (Pubitemid 44430200)
6. L. Ning, W. Wu, B. Zhang, and P. Zhang A time-varying transformer outage model for on-line operational risk assessment Int J Elec Power Energy Syst 33 2011 600 607
7. Groen FJ, Droguett EL. Bayesian estimation of the variability of reliability measures. In: Reliability and maintainability symposium, 2003 annual; 2003. p. 182-7.
8. G. Li, and J. Shi Applications of Bayesian methods in wind energy conversion systems Renew Energy 43 2012 1 8
9. P. Lauret, E. Fock, R.N. Randrianarivony, and J.F. Manicom-Ramsamy Bayesian neural network approach to short time load forecasting Energy Convers Manage 49 2008 1156 1166 (Pubitemid 351389577)
10. J. Augutis, I. Žutautaitė, V. Radziukynas, R. Krikštolaitis, and S. Kadiša Application of Bayesian method for electrical power system transient stability assessment Int J Elec Power Energy Syst 42 2012 465 472
11. R. Singh, E. Manitsas, B.C. Pal, and G. Strbac A recursive bayesian approach for identification of network configuration changes in distribution system state estimation IEEE Trans Power Syst 25 2010 1329 1336
12. Z. Yongli, H. Limin, and L. Jinling Bayesian networks-based approach for power systems fault diagnosis IEEE Trans Power Delivery 21 2006 634 639
13. T. Daemi, A. Ebrahimi, and M. Fotuhi-Firuzabad Constructing the Bayesian Network for components reliability importance ranking in composite power systems Int J Elec Power Energy Syst 43 2012 474 480
14. I. Monedero, F. Biscarri, C. León, J.I. Guerrero, J. Biscarri, and R. Millán Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees Int J Elec Power Energy Syst 34 2012 90 98
15. Lee ET, Wang JW. Statistical methods for survival data analysis. Wiley-Interscience; 2003.
16. D.M. Louit, R. Pascual, and A.K.S. Jardine A practical procedure for the selection of time-to-failure models based on the assessment of trends in maintenance data Reliab Eng Syst Safety 94 2009 1618 1628
17. Pylvanainen J, Verho P, Jarvinen J, Kunttu S, Sarsama J. Advanced failure rate and distribution network reliability modelling as part of network planning software. In: Electricity distribution, CIRED 2005 18th international conference and exhibition on 2005; 2005. p. 1-5.
18. Y. Sun, P. Wang, L. Cheng, and H. Liu Operational reliability assessment of power systems considering condition-dependent failure rate Gener Transm Distrib IET 4 2010 60 72
19. X.-Y. Song, and S.-Y. Lee A tutorial on the Bayesian approach for analyzing structural equation models J Math Psychol 56 2012 135 148
20. Albert J. Bayesian computation with R. Springer Verlag; 2007.
21. Christiansen CL, Morris CN. Hierarchical Poisson regression modeling. J Am Stat Assoc 1997;618-32.
22. Alston C, Kuhnert P, Choy SL, McVinish R, Mengersen K. Bayesian model comparison: Review and discussion. International Statistical Insitute, 55th session; 2005.
23. R Development C. TEAM. 2008. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. ISBN 3-900051-07-0, URL ; 2008.
24. Tierney L. Markov chains for exploring posterior distributions. Ann Stat 1994;1701-28.