Identification of Lightning Strike and Short-Circuit Fault Based on Wavelet Energy Spectrum and Transient Waveform Characteristics

Abstract:

The transient traveling waves generated by linghting can be used to linghting location, in order to improve fault identifiaction ability of current traveling wave location device, an identification method of lightning strike and short circuit fault based wavelet energy spctrum and transient waveform characteristics was presented in this paper. Through researched the current signals generated by non-fault lightning strike, fault lightning strike and short-circuit fault on 220kV transmission line, compared of the energy distribution of different transient signals in each prequence band, realized the identification of lightning strike and short-circuit fault; for lightning identification, by waveform characteristics calculated obtaining eigenvalue to identify the non-fault and fault linghtning. PSCAD/EMTDC simulation results identicate that the proposed method is correct and effective.

• Periodical: Applied Mechanics and Materials (Volume 596)
• Pages: 713-718
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.596.713
• Online since: July 2014
• Authors: Yan Feng Gao*, Yong Li Zhu, Hong Yan Yan, Hong Wei Yan
• Keywords: Fault Identification, Lightning Location, Transient Waveform Characteristics, Transmission Line, Wavelet Energy Spectrum

References

[1] Zhen Mei, Shuiming Chen, Qinwei Gu, et al. Statistic of lightning accidents during 1998~2004 in China. High Voltage Engineering. Vol. 33 (2007), pp.173-176.

[2] Xingli Dong, Yaozhong Ge, Xinzhou Dong. Effect of lighting on protection based on traveling waves. Proceedings of the CSEE, Vol. 22 (2002), pp.74-78.

[3] Hui Yi, Jiangliu Cui. The present state and lighting protection of transmission line in china. High Voltage Engineering, Vol. 27(2001), pp.44-50.

[4] Jiahong Chen, Qin Zhang, Wanxing Feng, et al. Lightning location system and lightning detection network of China power grid. High Voltage Engineering, Vol. 34 (2008), pp.425-431.

[5] Hao Wu, Xianyong Xiao. Lighting strike location of transmission line based on wavelet transform and traveling wave theory. High Voltage Engineering, Vol. 33 (2007), pp.86-90.

[6] Dipankar C, Kis hore N K, Avinash K S, et al. A wavelet multiresolution based analysis for location of the point of strike of a lightning over voltage on a transmission line. IEEE Trans on Power Delivery, Vol. 19 (2004), pp.1727-1733.

DOI: 10.1109/tpwrd.2004.835382

[7] Jiandong Duan, Baohui Zhang, Zhiguo Hao, et al. Identification of lighting strike and fault in the EHV transmission line transient-based protection. Automation of Electric Power Systems, Vol. 28(2004), pp.30-35.

[8] Guibin Zou, Houlei Gao, Feng Zhu, et al. Integral identification method of lighting stroke and fault for transmission line. Power System Protection and Control, Vol. 40(2012), pp.43-48.

[9] Gang Wang, Haifeng Li, Jiancang Zhao, et al. Identification of transients on transmission lines caused by direct lightning strike based on multiresolution signal decomposition. Proceedings of the CSEE, Vol. 24 (2004), pp.139-144.

[10] Hao Wu, Xianyong Xiao, Wujun Deng. Identification of lighting strike and fault in the traveling wave location of transmission line. High Voltage Engineering, Vol. 33 (2007), pp.63-67.

[11] Hao Wu, Xianyong Xiao, Ruijiao Shen. Lightning strike and fault identification by the wavelet energy spectrum and neural network method. High Voltage Engineering, Vol. 33 (2007), pp.64-68.

[12] Zhengyou He, Xiaoqin Chen. A study of electric power system transient signals identification method based on multi-scales energy statistic and wavelet energy entropy. Proceedings of the CSEE, Vol. 26 (2006), pp.33-38.

[13] Songlin Xu, Shaoxian Huang. Fault diagnosis of commutation failures in the HVDC system based on the wavelet energy spectrum and grey comprehensive relationship degree. Power System Protection and Control, Vol. 40 (2012), pp.85-89.