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A Novel Fault Identification Using WAMS/PMUZHANG, Y. , WANG, Z. , ZHANG, J.
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fault identification, noise, principal component analysis, wide area measurement system, wams
power(12), systems(11), analysis(8), fault(7), electric(6), research(5), principal(4)
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About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 21 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02004
Web of Science Accession Number: 000305608000004
SCOPUS ID: 84865279517
The important premise of the novel adaptive backup protection based on wide area information is to identify the fault in a real-time and on-line way. In this paper, the principal components analysis theory is introduced into the field of fault detection to locate precisely the fault by mean of the voltage and current phasor data from the PMUs. Massive simulation experiments have fully proven that the fault identification can be performed successfully by principal component analysis and calculation. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Under the influence of noise, the results are still accurate and reliable. So, the principal components fault identification has strong anti-interference ability and great redundancy.
|References|||||Cited By «-- Click to see who has cited this paper|
| A.G. Phadke and J.S. Thorp, "Expose hidden failures to prevent cascading outages," IEEE Computer Applications in Power, vol.9, pp. 20-23, Jul. 1996 |
[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 237]
 A.G. Phadke and J.S. Thorp, "Synchronized phasor measurements and their applications", Springer Verlag, 2008.
 Y. G. Zhang, Z. P. Wang, J. F. Zhang and J. Ma, "Fault localization in electrical power systems: A pattern recognition approach," International Journal of Electric Power & Energy Systems, vol.33, pp.791-798, Mar. 2011
[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 72]
 C. Wang, Q. Q. Jia, X. B. Li and C. X. Dou, "Fault location using synchronized sequence measurements," International Journal of Electrical Power & Energy Systems, vol.30. pp. 134-139, Feb.2008
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 37]
 T. S. Bi, X. H. Qin and Q. X. Yang, "A novel hybrid state estimator for including synchronized phasor measurements," Electric Power Systems Research, vol.78, pp. 1343-1352, Aug. 2008
[CrossRef] [Web of Science Times Cited 102] [SCOPUS Times Cited 139]
 C. Wang, C. X. Dou, X. B. Li and Q. Q. Jia, "A WAMS/PMU-based fault location technique," Electric Power Systems Research, vol. 77, pp. 936-945, Jun. 2007
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 57]
 Z. P. Wang, Y. G. Zhang and J. F. Zhang, "Recent research progress in fault analysis of complex electric power systems," Advances in Electrical and Computer Engineering, vol.10, pp.28-33, Feb. 2010
[CrossRef] [Full Text] [Web of Science Times Cited 18] [SCOPUS Times Cited 22]
 L. X. Dong, D. M. Xiao, Y. S. Liang and Y. L. Liu, "Rough set and fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power transformers," Electric Power Systems Research, vol.78, pp. 129-136, Jan. 2008
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 82]
 Y. G. Zhang, Z. P. Wang, J. F. Zhang and J. Ma, "PCA fault feature extraction in complex electric power systems," Advances in Electrical and Computer Engineering, vol.10, pp.102-107, Aug. 2010
[CrossRef] [Full Text] [Web of Science Times Cited 15] [SCOPUS Times Cited 19]
 P. Giordania and H. Kiersb, "Principal component analysis of symmetric fuzzy data," Computational Statistics & Data Analysis, vol.45, pp. 519-548, Apr. 2004
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 34]
 P. L. Cui, J. H. Li and G. Z. Wang, "Improved kernel principal component analysis for fault detection," Expert Systems with Applications, vol.34, pp. 1210-1219, Feb. 2008
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 88]
 C. D. Lu, C. M Zhang, T. Y. Zhang and W. Zhang, "Kernel based symmetrical principal component analysis for face classification," Neurocomputing, vol.70, pp. 904-911, Jan. 2007
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 19]
 M.A. Perry, H.P. Wynn and R.A. Bates, "Principal components analysis in sensitivity studies of dynamic systems," Probabilistic Engineering Mechanics, vol. 21, pp. 454-460, Oct. 2006
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 15]
 A. G. Phadke and J. S. Thorp, Computer relaying for power system, Second edition, John Wiley & Sons Ltd, Chichester, 2009.
 R. Johnson and D. Wichern, Applied multivariate statistical analysis, Prentice Hall, London, 2002.
 J. P. Zhu, Applied multivariate statistical analysis, Science Press, Beijing, 2006.
 D. Johnson, Applied multivariate methods for data analysts, Duxbury Press, Pacific Grove, CA, 1998.
 IEEE Std C37.118TM-2005, IEEE standard for synchrophasors for power systems, IEEE, New York, 2006.
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