Analysis of a Transformer Time-Varying Outage Model for Operational Risk Assessment

Abstract:

Firstly, the operating mechanism in developing process of transformer internal latent fault and external accessory fault is analyzed. Then, dissolved gas analysis (DGA) outcome and average degree of polymerization (DP) are used as an indicator to classify transformers operating condition, the multi-state Markov process model based transformers operating condition is proposed to estimate the internal failure rate. According to the method of weather condition classification, the external accessory failure rate model is proposed by considering the influence of weather change. A time-varying transformer outage model for operational risk assessment is proposed by using the multi-state Markov process to estimate the time-varying failure probability. Finally, a numerical is presented.

• Periodical: Advanced Materials Research (Volumes 732-733)
• Pages: 993-998
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.732-733.993
• Online since: August 2013
• Authors: Ke Tian, Da Hai You, Yi Long Li, Kai Pan, Ke Wang
• Keywords: Condition Monitoring Information, Markov Process, Operational Risk Assessment, Time-Varying Outage Model, Transformer

References

[1] NI Ming, MACALLEY J D, Vittal V: IEEE Trans on Power Systems, vol. 18 (2003) No. 1, p.258.

[2] L. Y Ning, W. C Wu and B. M Znang: Automation of Electric Power Systems, vol. 33 (2009) No. 16, p.7. (In Chinese).

[3] W. C Wu, L. Y Ning and B. M Zhang: Automation of Electric Power Systems, vol. 32 (2008) No. 7, p.1. (In Chinese).

[4] Moon J F, Kim J C, Lee H Y, et al: 2006 9th International Conference on Probabilistic Methods Applied to Power Systems (Stockholm, Sweden: KTH, 2006). P. 1.

[5] J He, L Cheng, Y. Z Sun: Journal of Zhejiang University: Science A, vol. 8 (2001) No. 3, p.378.

[6] Ramu T S, Pradhan M K: IEEE Transactions on Power Delivery, vol. 20 (2005) No. 3, p. (1962).

[7] L. Y Ning, W. C Wu and B. M Zhang: Automation of Electric Power Systems, vol. 34 (2010) No. 15, p.9. (In Chinese).

[8] L. Y Ning, W. C Wu and B. M Zhang: Automation of Electric Power Systems, vol. 34 (2010) No. 16, p.24. (In Chinese).

[9] Karlsson S: A review of lifetime assessment of transformers and the use of dissolved gas analysis (MS., Stockholm: The Royal Institute of Technology, Sweden 2006), p.13.

[10] D. H Zhu, Zhang Yan: High Voltage Insulation (Tsinghua University Publications, China 1992).

[11] Z. T Chen: Power Transformer Protection (China Electric Power Press, China1989). (In Chinese).

[12] GB/T7252-87 Analysis and Judgment Guidelines of Transformer Oil Dissolved Gas, (1987).

[13] IEEE Standard 346: Terms for reporting and analyzing outage of electrical transmission and distribution facilities and interruptions to customer service[S]. IEEE, Piscataway, NJ, (1973).

DOI: 10.1109/ieeestd.1972.7409894

[14] R. X Liu, J. H Zhang, W. X Liu, Di WU: Proceedings of the CSEE, vol. 31 (2011) No. 31, p.134. (In Chinese).

[15] PATHAKJ, JIANGY, HONAVARV, et al: Proceedings of the 9th International Conference on Probabilistic Methods Applied to Power Systems (Stockholm, Sweden, June 11-15, 2006) p.1.

[16] J. H Cao, Kan Cheng: Reliability Mathematical Introduction (Higher Education Publications, China 2006). (In Chinese).