The Short-Term Reliability Assessment of Distribution Network Based on Conditions Dependent Element Failure Rate

Abstract:

Specific to the demand for the actual operation, this paper calculates short-term failure rates of various types of elements by adopting improved conditions dependent model: temperature-dependent element aging failure model, weather-dependent occasional failure model, current-dependent overload protection model, and processes a short-term reliability assessment by forward failure diffusion algorithm. Example analysis is simulated by 11kV distribution network of IEEE RBTS Bus-2 system to prove the reliability assessment model, the reliability assessment process are effective and provide on-site operation and maintenance personnel with guidance for decision making in the short-term scheduling and online operation.

• Periodical: Applied Mechanics and Materials (Volumes 716-717)
• Pages: 1130-1135
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.1130
• Online since: December 2014
• Authors: Guo Xun Yuan*, Song Lin, Yang Xu, Can Zhao, Lei Dong, Ke Wen Liu
• Keywords: Condition Dependent, Distribution Network Operational Reliability, Short-Term Element Failure Rate

References

[1] Sun Y Z, Zhou J Q. Basic Theory of Large Interconnected Power System Online Operational Reliability [M]. Beijing: Tsinghua University Press, 2010: 2-4.

[2] Li W Y, Zhou J Q, Xie K G. Power system risk assessment using a hybrid method of fuzzy set and Monte Carlo simulation [J]. IEEE Transactions on Power Systems, 2008, 23(2): 336-343.

DOI: 10.1109/tpwrs.2008.919201

[3] Desilva A M, Endrenyi J, Wang L. Integrated Treatment of Adequacy and Security in Bulk Power System Reliability Evaluations [J]. IEEE Transactions on Power Systems, 1993, 8(1): 275-285.

DOI: 10.1109/59.221230

[4] He J, Cheng L, Sun Y Z, Wang P. Condition Dependent Short-term Reliability Models of Transmission Equipment [J]. Proceedings of the CSEE, 2009, 07: 39-46.

[5] Sun Y Z, Cheng L, He J. Power System Operational Reliability Theory [M]. Beijing: Tsinghua University Press, 2012: 83-88, 125-129.

[6] Brad. Retterath S.S. Venkata, Ali A. Chowdhury. Impact of Time-Varying Failure Rates on Distribution Reliability. Proc. of the 8th International Conference on PMAPS, Sept. 2004: 953-958.

[7] Najdenkoski, K.; Rafajlovski, G.; Dimcev, V. Thermal Aging of Distribution Transformers According to IEEE and IEC Standards. Power Engineering Society General Meeting, 2007. IEEE, p.1, 5, 24-28 June (2007).

DOI: 10.1109/pes.2007.385642

[8] Allan R N, Billinton R, Sjarief I, et al. A reliability test system for educational purposes: basic distribution system data and results[J]. IEEE Trans on Power Systems, 1991, 6(2): 813-820.

DOI: 10.1109/59.76730

[9] Mudholkar, G.S. Srivastava, D K. Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Transactions on Reliability, vol. 42, no. 2, pp.299-302, Jun (1993).

DOI: 10.1109/24.229504

[10] Billinton, R.; Singh, G., Application of adverse and extreme adverse weather: modelling in transmission and distribution system reliability evaluation, Generation, Transmission and Distribution, IEE Proceedings- , vol. 153, no. 1, p.115, 120, 12 Jan. (2006).

DOI: 10.1049/ip-gtd:20045058

[11] IEEE Guide for Loading Mineral-Oil-Immersed Overhead and Pad-Mounted Distribution Transformers Rated 500 kVA and Less With 65 Degrees ℃or 55 Degrees ℃ Average Winding Rise. ANSI/IEEE Std C57. 91-1981. (1981).

DOI: 10.1109/ieeestd.1981.81014

[12] Najdenkoski, K.; Rafajlovski, G.; Dimcev, V. Thermal Aging of Distribution Transformers According to IEEE and IEC Standards, Powe. r Engineering Society General Meeting, 2007. IEEE , vol., no., p.1, 5, 24-28 June (2007).

DOI: 10.1109/pes.2007.385642

[13] Adomah K, Mizuno Y, Naito K. Probabilistic assessment of the reduction in tensile strength of an overhead transmission line's conductor with reference to climatic data[J]. IEEE Trans on Power.

DOI: 10.1109/61.891506

[14] Wang Z D, Shokooh F, Jun Q. An efficient algorithm for assessing reliability indexes of general distribution systems. Power Systems, IEEE Transactions, vol. 17, no. 3, p.608, 614, (2002).

DOI: 10.1109/tpwrs.2002.800904