论文信息 - Identifying inrush current using sinusoidal proximity factor

Identifying inrush current using sinusoidal proximity factor

This paper presents a novel scheme based sinusoidal proximity factor (SPF) for distinguishing between inrush currents and internal fault currents in transformers, which is derived from the sinusoidal characteristics of the waveforms. First, the SPF is defined and its calculation method and the criterion to identify the internal faults and inrush currents are developed. In a total of 162 experimental cases, the SPF of the inrush current is very small, but the SPF of the internal fault current is characterized by drastic variation. The experimental results verify the dependability, security, and fast operation of the proposed scheme. Besides, its easy implementation in real time is another advantage of the proposed method because of its simplicity.

[1] J. Thorp,et al. A New Computer-Based Flux-Restrained Current-Differential Relay for Power Transformer Protection , 1983, IEEE Transactions on Power Apparatus and Systems.

[2] M. Suzuki,et al. Digital protection method for power transformers based on an equivalent circuit composed of inverse inductance , 1988 .

[3] B. Jeyasurya,et al. A state-of-the-art review of transformer protection algorithms , 1988 .

[4] M. S. Sachdev,et al. Online identification of magnetizing inrush and internal faults in three-phase transformers , 1992 .

[5] A. Wiszniewski,et al. A multi-criteria differential transformer relay based on fuzzy logic , 1995 .

[6] M. R. Zaman,et al. Artificial neural network based protection of power transformers , 1998 .

[7] Kuniaki Yabe,et al. Power differential method for discrimination between fault and magnetizing inrush current in transformers , 1996 .

[8] O. A. S. Youssef,et al. A wavelet-based technique for discrimination between faults and magnetising inrush currents in transformers , 2002, IEEE Power Engineering Society Summer Meeting,.

[9] Xu Yan,et al. A Novel Adaptive Algorithm to Identify Inrush Using Mathematical Morphology , 2006, 2006 IEEE PES Power Systems Conference and Exposition.