The Spare Analysis of Transformers Based on Reliability Criterion and Insulation Age Evaluation

doi:10.11930/j.issn.1004-9649.201808130

Abstract

Abstract: In view of the fact that the traditional spare analysis methods for transformers does not take into account the actual aging failures of transformers, in this paper, based on reliability criterion and insulation age evaluation, a spare analysis method for transformers is proposed to reasonably determine the storage quantity and purchasing time of spare transformers. Firstly, the degree of polymerization (DP) of the insulation paper can be fitted using the measured condition monitoring data collected from the transformer oil, and the current and future insulation ages of the transformer can be then estimated. Secondly, the unavailability of equipment caused by aging failure is determined by predicting the insulation age. Then, combining the repairable failure, the total unavailability of equipment caused by aging failure is determined. Finally, according to the requirement of system reliability level, the spare parts strategy for transformer group is formulated by using reliability analysis theory. The measured data of a regional power grid consisting of 22 transformers of 220 kV in the south of China were used to test the effectiveness of the proposed method. According to the measured data of 22 transformers of 220 kV in a southern regional power grid, simulation analysis is carried out to verify the effectiveness of the proposed method.

Key words: condition monitoring, insulation age, transformer, reliability theory, spare strategy

CLC Number:

TM85

XIANG Bo, JIANG Yunpeng, REN Zhouyang, LI Hui, HU Weinan, ZHANG Congyu. The Spare Analysis of Transformers Based on Reliability Criterion and Insulation Age Evaluation[J]. Electric Power, 2019, 52(12): 46-53.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201808130

https://www.electricpower.com.cn/EN/Y2019/V52/I12/46

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