Fault diagnosis based on cluster analysis theory in wide area backup protection system

Asia-Pacific Power and Energy Engineering Conference, APPEEC

Volumn , Issue , 2009, Pages

  Zhang, Yagang ^a   Ma, Jing ^a   Zhang, Jinfang ^a   Wang, Zengping ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Fault diagnosis; Hierarchical cluster analysis; Multivariate statistical analysis theory; Phasor measurement unit; PMU; Wide area backup protection

Indexed keywords

FAULT DIAGNOSIS; HIERARCHICAL CLUSTER ANALYSIS; MULTIVARIATE STATISTICAL ANALYSIS THEORY; PHASOR MEASUREMENT UNIT; PMU; WIDE AREA BACKUP PROTECTION;

CLUSTER ANALYSIS; ELECTRIC FAULT CURRENTS; ELECTRIC GENERATORS; ELECTRIC NETWORK ANALYSIS; ELECTRIC POWER MEASUREMENT; ELECTRIC POWER SYSTEM PROTECTION; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRON EMISSION; FAILURE ANALYSIS; POWER TRANSMISSION; UNITS OF MEASUREMENT; WATER; WIDE AREA NETWORKS;

MULTIVARIANT ANALYSIS;

EID: 84869978508     PISSN: 21574839     EISSN: 21574847     Source Type: Conference Proceeding    
DOI: 10.1109/APPEEC.2009.4918370     Document Type: Conference Paper

References (17)

1. J.X. Yuan, Wide area protection and emergency control to prevent large scale blackout, Beijing: China Electric Power Press, 2007.
2. L. Te, "Study on sustainable development strategy of electric power in China in 2020," Electric Power, vol. 36, pp. 1-7, October 2003.
3. Y.S. Xue, "Interactions between power market stability and power system stability," Automation of Electric Power Systems, vol. 26 (21-22), pp. 1-6, pp. 1-4, November 2002.
4. Q.X. Yang, "A review of the application of WAMS information in electric power system protective relaying," Modern Electric Power, No. 3, pp. 1, May 2006.
5. J. Yi, X.X. Zhou, "A survey on power system wide-area protection and control," Power System Technology, vol. 30, pp. 7-13, April 2006.
6. X.Q. He, Morden statistical analysis methods and applications, Beijing: China Renmin University Press, 2007.
7. X.L. Yu, X.S. Ren, Multivariate statistical analysis, Beijing: China Statistic Press, 1998.
8. Y.T. Zhang, K.T. Fang, Introduction to multivariate statistical analysis, Beijing: Science Press, 1982.
9. A.Z. Arifin, A. Asano, "Image segmentation by histogram thresholding using hierarchical cluster analysis," Pattern Recognition Letters, vol. 27, pp. 1515-1521, October 2006.
10. X. Otazu, O. Pujol, "Wavelet based approach to cluster analysis. Application on low dimensional data sets," Pattern Recognition Letters, vol. 27, pp. 1590-1605, October 2006.
11. H.S. Park, D.K. Baik, "A study for control of client value using cluster analysis," Journal of Network and Computer Applications, vol. 29, pp. 262-276, November 2006.
12. V. Tola, F. Lillo, M. Gallegati and R.N. Mantegna. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, vol. 32, pp. 235-258, January 2008.
13. W.X. Zhao, P.K. Hopke and K.A. Prather, "Comparison of two cluster analysis methods using single particle mass spectra," Atmospheric Environment, vol. 42, pp. 881-892, February 2008.
14. M. Tempi, P. Filzmoser and C. Reimann, "Cluster analysis applied to regional geochemical data: Problems and possibilities," Applied Geochemistry, vol. 23, pp. 2198-2213, August 2008.
15. Y.G. Zhang, P. Zhang and H.F. Shi, "Statistic character in nonlinear systems," Proceedings of the Sixth International Conference on Machine Learning and Cybernetics(ICMLC), Hong Kong, vol. 5, pp. 2598-2602, August 2007.
16. Y.G. Zhang, C.J. Wang and Z. Zhou, "Inherent randomicity in 4-symbolic dynamics," Chaos, Solitons and Fractals, vol. 28, pp. 236-243, April 2006.
17. Y.G. Zhang, C.J. Wang, "Multiformity of inherent randomicity and visitation density in-symbolic dynamics," Chaos, Solitons and Fractals, vol. 33, pp. 685-694, July 2007.