A Synthetic Condition Assessment Model for Power Transformers Using the Fuzzy Evidence Fusion Method

Fenglan Tian, Zhongzhao Jing, Huan Zhao, Enze Zhang and Jiefeng Liu
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Fenglan Tian: State Grid Zhengzhou Electric Power Supply Company, Zhengzhou 450000, China
Zhongzhao Jing: State Grid Zhengzhou Electric Power Supply Company, Zhengzhou 450000, China
Huan Zhao: Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Enze Zhang: Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Jiefeng Liu: Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China

Energies, 2019, vol. 12, issue 5, 1-17

Abstract: Condition-based maintenance decision-making of transformers is essential to electric enterprises for avoiding financial losses. However, precise transformer condition assessment was tough to accomplish because of the negligence of the influence of bushing and accessories, the difficulty of fuzzy grade division, and the lack of reasonable fuzzy evidence fusion method. To solve these problems, a transformer assessing model was proposed in the paper. At first, an index assessing system, considering the main body, the bushing and the accessories components, was established on the basis of components division of transformers. Then, a Cauchy membership function was employed for fuzzy grades division. Finally, a fuzzy evidence fusion method was represented to handle the fuzzy evidences fusion processes. Case studies and the comparison analysis with other methods were performed to prove the effectiveness of this model. The research results confirm that the proposed model could be recommendation for condition based maintenance of power transformers for electric enterprises.

Keywords: power transformers; fuzzy information; information fusion; evidential reasoning; condition assessment; condition based maintenance decision making (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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