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A Novel Approach for Ground Fault Detection

Conclusions 4. B. Don Russell and B. Michael Aucoin, 1996, “En-
This paper discusses a novel approach for high imped- ergy Analysis Fault Detection System”, U.S. Patent No.
ance ground fault detection using a composite high 5,512,832.
impedance ground fault detection system. The com-
posite high impedance ground fault detection system 5. S. Ebron, D. Lubkeman, and M. White, 1990, “A
includes three individual high impedance ground fault neural network approach to the detection of incipient
detection systems. These individual high impedance faults on power distribution feeders”, IEEE Transactions
ground fault detection systems have individual algo- on Power Delivery, Vol. 5, No. 2, pp. 905-914, April.
rithms for individually detecting high impedance faults.
These algorithms are based on higher order statistics, 6. Peter B. Snow, Alexander P. Apostolov and Jeffer-
wavelet, and neural network. The individual high son D. Bronfeld, 1996, “Method and Apparatus For
impedance fault detection algorithms can each have a Detecting High-Impedance Faults In Electrical Power
different confidence level. A fault is identified as a high Systems”, U.S. Patent No. 5,537,327.
impedance fault once it is detected independently by
the algorithms and processed through a decision logic, 7. B. Russell and C. Benner, 1995, “Arcing fault detec-
which can be adapted either for maximum depend- tion for distribution feeders: security assessment in
ability or for maximum security or for a compromise long term field trials”, IEEE Transactions on Power
between dependability and security. Presented test Delivery, Vol. 10, No. 2, pp. 676-683, April.
results are encouraging.
8. V. Bucholz, M. Nagpal, J. Nielson, B. Parsi, and W.
It is possible to implement the higher order statistics Zarecki, 1996, “High impedance fault detection de-
and wavelet based algorithms in protective relays using vice tester”, IEEE transactions on Power Delivery, Vol.
available technology. However, neural network based 11, No. 1, pp. 184-190, January.
algorithms require further work before implementation
in protective relays due to huge computational require- 9. C. Benner and B. Russell, 1997, “Practical high im-
ments. pedance fault detection on distribution feeders”, IEEE
Transactions on Power Delivery, Vol. 33, No. 3, pp.
References 635-640, May/June.
1. IEEE Power System Relaying Committee Working
Group D15 Report, “High Impedance Fault Detection 10. R. Patterson, W. Tyska, B. Don Russell and B.
Technology”, http://www.pes-psrc.org/, (Go to Pub- Michael Aucoin, 1994, “A Microprocessor-Based
lished Reports, then to Reports Relating to Line Protec- Digital Feeder Monitor With High-Impedance Fault
tion - File name is D15MSW60.htm) Detection”, presented to the Forty-Seventh Annual
Conference for Protective Relay Engineers, Texas A&M
2. B. Russell, K. Mehta, R. Chinchali, 1988, “An arcing University, College Station, TX, March 21-23.
fault detection technique using low frequency current
components performance evaluation using recorded 11. J. Tugnait, 1996, “Detection of Random Signals
data”, IEEE Transactions on Power Delivery, Vol. 3, No. by Integrated Polyspectral Analysis”, IEEE Transactions
4, pp. 1493-1500, October. on Signal processing, Vol. 44, No. 8, pp. 2102-2108,
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3. B. Don Russell, Jr., 1984, “High Impedance Fault
Detection Apparatus and Method”, U.S. Patent No.
4,466,071.

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