Location of DC line faults in conventional HVDC systems with segments of cables and overhead lines using terminal measurements

Summary form only given. This paper presents a novel algorithm to determine the location of DC line faults in an HVDC system with a mixed transmission media consisting of overhead lines and cables, using only the measurements taken at the rectifier and inverter ends of the composite transmission line. The algorithm relies on the travelling wave principle, and requires the fault generated surge arrival times at two ends of the DC line as inputs. With accurate surge arrival times obtained from time synchronized measurements, the proposed algorithm can accurately predict the faulty segment as well as the exact fault location. Continuous wavelet transform coefficients of the input signal are used to determine the precise time of arrival of travelling waves at the DC line terminals. Two possible input signals, the DC voltage measured at the converter terminal and the current through the surge capacitors connected at the DC line end, are examined and both signals are found to be equally effective for detecting the travelling wave arrival times. Performance of the proposed fault-location scheme is analyzed through detailed simulations carried out using the electromagnetic transient simulation software PSCAD®. The impact of measurement noise on the fault location accuracy is also studied in the paper.

[1]  Mario Paolone,et al.  On the use of continuous-wavelet transform for fault location in distribution power systems , 2006 .

[2]  Chen Xiangxun,et al.  Travelling wave fault location of transmission line using wavelet transform , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).

[3]  Saburo Sasaki Suppression of Abnormal Overvoltages on a Metallic Return HVDC Overhead Line/Cable Transmission System , 1978, IEEE Transactions on Power Apparatus and Systems.

[4]  T. Westerweller,et al.  Basslink HVDC interconnector-system design considerations , 2006 .

[5]  Martin Vetterli,et al.  Wavelets and filter banks: theory and design , 1992, IEEE Trans. Signal Process..

[6]  E. Fukuda,et al.  The feature of the Anan-Kihoku direct-current transmission line (overhead line) , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[7]  Randy Wachal,et al.  Fault Location in Extra Long HVdc Transmission Lines using Continuous Wavelet Transform , 2011 .

[8]  B. Jeyasurya,et al.  Transmission line distance protection using wavelet transform algorithm , 2004, IEEE Transactions on Power Delivery.

[9]  Johann Jaeger,et al.  High-speed fault identification and protection for HVDC line using wavelet technique , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[10]  Jos Arrillaga,et al.  The application of satellite time references to HVDC fault location , 1993 .

[11]  Ali Abur,et al.  Fault location using wavelets , 1998 .

[12]  M. Paolone,et al.  Continuous-Wavelet Transform for Fault Location in Distribution Power Networks: Definition of Mother Wavelets Inferred From Fault Originated Transients , 2008, IEEE Transactions on Power Systems.

[13]  Rashmi Aspi Keswani Identification of Fault in HVDC Converters Using Wavelet Based Multi-Resolution Analysis , 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

[14]  Adly Girgis,et al.  Application of Kalman Filtering in Computer Relaying , 1981, IEEE Transactions on Power Apparatus and Systems.

[15]  Jing Li,et al.  A Traveling Wave Based Fault Locating System for HVDC Transmission Lines , 2006, 2006 International Conference on Power System Technology.

[16]  S. Hara,et al.  Fault protection of metallic return circuit of Kii channel HVDC system , 2001 .

[17]  J. Amarnath,et al.  Wavelet Transform Approach for Detection and Location of Faults in HVDC System , 2008, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems.

[18]  Rodney H. G. Tan,et al.  Power system transient analysis using scale selection wavelet transform , 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.