A Selection Method of Optimal Criteria for Transformer Condition Assessment

doi:10.11930/j.issn.1004-9649.2014.8.8.4

Abstract

Abstract: Currently, selection of criteria for transformer condition assessments is mostly based on experience without a comprehensive measure index, which makes condition assessment models lack of data or difficult to reflect potential failure in applications. Therefore, a novel selection method of criteria was presented. Firstly, the transformer common failure modes were analyzed by the failure mode and effect analysis (FMEA), and the occurrence and severity of failure modes and their detection methods were obtained. Secondly, the priority index of detection method was derived by using AHP, which considered the sensitivity, elusiveness, reliability and cost factors of each failure mode detection method. Thirdly, the model of selection optimal criteria was established. Finally, by selecting optimal criteria to evaluate the mechanical and thermal properties of a transformer, the feasibility of the method was verified, and the results show that the criteria selected by this method can effectively reflect the transformer condition. This method is proved to have good engineering values.

Key words: transformer, condition assessment, optimal criteria, FMEA, AHP

CLC Number:

TM406

YAO Sen-jing, WEN Zheng-qi, ZHANG Lin, LYU Qi-shen. A Selection Method of Optimal Criteria for Transformer Condition Assessment[J]. Electric Power, 2014, 47(8): 8-12.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2014.8.8.4

https://www.electricpower.com.cn/EN/Y2014/V47/I8/8

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