Study on Thermal Characteristics of Winding under Inter-Turn Fault of Oil-Immersed Transformer

Author:

Hao Yuefeng1,Zhang Zhanlong1ORCID,Xiao Jiayi12,Zhao Hui13,Yang Yu1,Dong Zijian1

Affiliation:

1. School of Electrical Engineering, Chongqing University, Chongqing 400044, China

2. State Grid Hunan Extra High Voltage Substation Company, Changsha 410005, China

3. Central Southern China Electric Power Design Institute, Wuhan 430071, China

Abstract

The inter-turn fault is a common fault of oil-immersed transformers. Due to the deterioration of inter-turn insulation, its resistance decreases, which leads to an increase in the winding coil current and loss, causing the winding temperature to rise. Therefore, analyzing the electrothermal characteristics of inter-turn short circuit faults in oil-immersed transformers can provide a theoretical basis for the diagnosis of inter-turn faults in transformers. This paper studies the equivalent circuit under inter-turn faults and establishes a field–circuit coupling model to calculate the current characteristics under different inter-turn short circuit faults of transformers. The distribution of coil losses under faults is calculated as thermal source excitations, and a thermal–fluid-coupled calculation model for oil-immersed transformers is established. After the experimental verification, it is found that both the errors between the winding and tank surface temperatures do not exceed the acceptable limits, validating the effectiveness of this model. Using this model to calculate the temperature distribution for various inter-turn short circuit faults in transformers reveals their hot-spot characteristics. The results indicate that under inter-turn fault conditions, the temperature at faulty turns will gradually increase towards a limit, eventually leading to coil damage. This research provides theoretical support for enhancing transformer detection and diagnostic capabilities.

Funder

The National Natural Science Foundation of China

Publisher

MDPI AG

Reference30 articles.

1. Approach for Identification of Inter-Turn Fault Location in Transformer Windings Using Sweep Frequency Response Analysis;Kumar;IEEE Trans. Power Deliv.,2022

2. Failures, Monitoring and New Trends of Power Transformers;Metwally;IEEE Potentials,2011

3. Detecting the Position of Winding Short Circuit Faults in Transformer Using High Frequency Analysis;Barzegaran;Eur. J. Sci. Res.,2008

4. Transformer Turn-to-Turn Fault Protection Based on Fault-Related Incremental Currents;Farzin;IEEE Trans. Power Deliv.,2019

5. Finite Element Analysis of Internal Winding Faults in Distribution Transformers;Wang;IEEE Trans. Power Deliv.,2001

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