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논문 기본 정보

자료유형
학술저널
저자정보
Seyed Mohammad Hassan Hosseini (Islamic Azad University) Peyman Rezaei Baravati (Islamic Azad University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.3
발행연도
2015.5
수록면
1,093 - 1,101 (9page)

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초록· 키워드

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Partial Discharge (PD) is a physical phenomenon, which causes defects and damages to the insulation. This phenomenon is regarded as the most important source of fault and defect in power transformers. Therefore, methods of high speed and precision are considered of special importance for the maintenance of transformers in localization of the origin of partial discharge. In this paper, the transformer winding is first modeled in a transient state by using RLC ladder network and multiconductor transmission line (MTL) models. The parameters of the two models were calculated by Ansoft Maxwell software, and the simulations were performed by Matlab software. Then, the PD pulses were applied to the models with different widths of pulses. With regard to the fact that the signals received after the application of PD had a variable frequency nature over time, and based on the wavelet transform and signal energy, a new method was presented for the localization of PD. Ultimately; the mentioned method was implemented on a 20 kV winding distribution transformer. Then, the performances of the models used in this paper, including RLC and MTL models, were compared in different frequency bands for the correct distinction of partial discharge location.

목차

Abstract
1. Introduction
2. High-frequency Models of Transformer Winding
3. Wavelet Transform
4. PD Localization Algorithm
5. Laboratory Results
6. Conclusion
References

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