Identification of Ferroresonance on Transformer using Wavelet Transformatio

I. M. Y. Negara, I. S. Hernanda, D. A. Asfani, D. Fahmi, L. Hakim, I. G. L. E. Putra
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引用次数: 2

Abstract

Ferroresonance is a transient phenomenon characterized by overvoltage and waveform mismatches affected by a combination of nonlinear inductances and capacitors. Even though ferroressonance is a transient phenomenon however the impact of the ferroresonance continue for a steady state that causes excess temperature and finaly damage the impacted apparatus . Therefore, this study concern to understand and identify ferroresonance phenomena and at the end to distinguish them from other disturbances such as overvoltage and harmonics. Ferroresonance initiation is carried out on a laboratory scale using a basic circuit of ferroresonance consisting of capacitors and transformers. Two kind of transformer core topologies, namely H type and M type, was used in the experiments. Moreover other disturbances such as harmonics was also simulated in laboratory. The ferroresonance and harmonic waveform then be processed using wavelet transformations and its cumulative energy was also determined. The results shows that for H type transformer the threshold value that distinguishes ferroresonance from other disturbances is about 9.24. On the other hand for M type transformer was about 7.97. Based on these values, the type of transformer core affect the energy level of ferroresonance. Moreover wavelet transformation could identify between ferroresonance and other disturbance under study very well, however further study should be done to investigate the effectivity of wavelet to discriminate all possible mode of ferroresonance.
用小波变换识别变压器铁磁谐振
铁磁谐振是一种瞬态现象,其特征是在非线性电感和电容的共同作用下产生过电压和波形失配。尽管铁共振是一种瞬态现象,但铁共振的影响会持续到稳定状态,从而导致温度过高并最终损坏受影响的设备。因此,本研究的重点是了解和识别铁磁谐振现象,并最终将其与过电压和谐波等其他干扰区分开来。铁谐振起始是在实验室规模上进行的,使用由电容器和变压器组成的铁谐振基本电路。实验采用了H型和M型两种变压器铁心拓扑结构。此外,还对谐波等其他干扰进行了室内模拟。然后用小波变换对铁共振和谐波波形进行处理,并确定其累积能量。结果表明,H型变压器铁共振与其他扰动的阈值约为9.24。而M型变压器为7.97左右。在此基础上,分析了变压器铁心类型对铁磁谐振能级的影响。此外,小波变换可以很好地识别铁共振和所研究的其他扰动,但小波变换在识别所有可能的铁共振模式方面的有效性还有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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