|3/2010 - 17|
PCA Fault Feature Extraction in Complex Electric Power SystemsZHANG, Y. , WANG, Z. , ZHANG, J. , MA, J.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (575 KB) | Citation | Downloads: 1,106 | Views: 3,494|
complexity, fault feature extraction, principal components analysis, PCA, phasor measurement unit, PMU, electric power system
power(11), zhang(8), wang(8), electric(7), analysis(6), systems(5), system(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-08-31
Volume 10, Issue 3, Year 2010, On page(s): 102 - 107
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.03017
Web of Science Accession Number: 000281805600017
SCOPUS ID: 77956623447
Electric power system is one of the most complex artificial systems in the world. The complexity is determined by its characteristics about constitution, configuration, operation, organization, etc. The fault in electric power system cannot be completely avoided. When electric power system operates from normal state to failure or abnormal, its electric quantities (current, voltage and angles, etc.) may change significantly. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Therefore, utilizing real-time measurements of phasor measurement unit, based on principal components analysis technology, we have extracted successfully the distinct features of fault component. Of course, because of the complexity of different types of faults in electric power system, there still exists enormous problems need a close and intensive study.
|References|||||Cited By «-- Click to see who has cited this paper|
| J. X. Yuan, "Wide area protection and emergency control to prevent large scale blackout", China Electric Power Press, Beijing, 2007.
 L. Ye, "Study on sustainable development strategy of electric power in China in 2020", Electric Power, vol. 36, pp. 1-7, Oct. 2003.
 Y. S. Xue, "Interactions between power market stability and power system stability", Automation of Electric Power Systems, vol. 26, pp. 1-6, Nov. 2002.
 M. J. Baxter, "Standardization and transformation in principal components analysis, with applications to archaeometry", Applied Statistics, vol. 44, pp. 513-527, Oct. 1995.
[CrossRef] [Web of Science Times Cited 30]
 M. D. Glascock, E. B. Geoffrey and H. C. Robert, A systematic approach to obsidian source characterization, Plenum Publishing Co., New York, 1998.
 X. L. Yu and X. S. Ren, Multivariate statistical analysis, China Statistic Press, 1998.
 Y. G. Zhang, C. J. Wang and Z. Zhou, "Inherent randomicity in 4-symbolic dynamics", Chaos, Solitons and Fractals, vol. 28, pp. 236-243, Apr. 2006.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 19]
 Y. G. Zhang and C. J. Wang, "Multiformity of inherent randomicity and visitation density in n-symbolic dynamics", Chaos, Solitons and Fractals, vol. 33, pp. 685-694, Jul. 2007.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]
 Y. G. Zhang and Z. P. Wang, "Knot theory based on the minimal braid in Lorenz system", International Journal of Theoretical Physics, vol. 47, pp. 873-880, Apr. 2008.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 13]
 Y. G. Zhang, Y. Xu and Z.P. Wang, "Dynamical randomicity and predictive analysis in cubic chaotic system", Nonlinear Dynamics, vol. 61, pp. 241-249, Jul. 2010.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]
 Y. G. Zhang, J. F. Zhang, Q. Ma, J. Ma and Z. P. Wang, "Statistical description and forecasting analysis of life system", International Journal of Nonlinear Sciences and Numerical Simulation, vol.11, pp. 157-163, Mar. 2010.
 Z. P. Wang, Y. G. Zhang, J. F. Zhang and J. Ma, "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 17] [SCOPUS Times Cited 21]
 A. G. Phadke and J. S. Thorp, Synchronized phasor measurements and their applications, Springer Verlag, 2008.
 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 27] [SCOPUS Times Cited 39]
 C. Rakpenthai, S. Premrudeepreechacharn, S. Uatrongjit and N.R. Watson, "Measurement placement for power system state estimation using decomposition technique", Electric Power Systems Research, vol. 75, pp.41-49, Jul. 2005.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 19]
 J. N. Peng, Y. Z. Sun and H. F. Wang, "Optimal PMU placement for full network observability using Tabu search algorithm", International Journal of Electrical Power & Energy Systems, vol. 28, pp. 223-231, May. 2006.
[CrossRef] [Web of Science Times Cited 111] [SCOPUS Times Cited 158]
 M. D. Glascock, Characterization of archaeological ceramics at MURR by neutron activation analysis and multivariate statistics, Prehistory Press, Madison, 1992.
 J. E. Jackson, A user's guide to principal components, John Wiley and Sons, New York, 1991.
Web of Science® Citations for all references: 246 TCR
SCOPUS® Citations for all references: 296 TCR
Web of Science® Average Citations per reference: 14 ACR
SCOPUS® Average Citations per reference: 16 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2018-01-21 18:47 in 70 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.