|1/2010 - 5|
Recent Research Progress in Fault Analysis of Complex Electric Power SystemsWANG, Z. , ZHANG, Y. , ZHANG, J. , MA, J.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (688 KB) | Citation | Downloads: 1,445 | Views: 209|
complexity, graph theory, multivariate statistical analysis theory, fault analysis, electric power system
power(10), wang(7), analysis(7), electric(6), cluster(6), zhang(5), system(5), systems(4), dynamics(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 28 - 33
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01005
Web of Science Accession Number: 000275458900005
SCOPUS ID: 77954676685
In this paper, we adopt a novel approach to the fault analysis of complex electric power systems. Electric power system is one of the most complex artificial systems in the world. Its safe, steady, economical and reliable operating plays a very important part in guaranteeing socioeconomic development, and even in safeguarding social stability. The complexity of electric power system is determined by its characteristics about constitution, configuration, operation, organization, etc. No matter if, we adopt new analytical methods or technical means, we must have a distinct recognition of electric power system itself and its complexity, and increase analysis continuously, operation and control level. In this paper, utilizing real-time measurements of phasor measurement unit, based on graph theory and multivariate statistical analysis theory, we are using mainly Breadth-first search, Depth-first search and cluster analysis. Then, we seek for the uniform laws of marked changes of electrical quantities. Then we can carry out fast and exact analysis of fault component. Finally, we can accomplish fault isolation. According to line fault and bus-bar fault (single-phase fault, phase-to-phase fault and three-phase fault) in complex electric power systems, we have carried out a great deal of simulation experiments and obtained ideal results. These researches have proven that the faults in complex electric power systems can be explored successfully by analysis and calculation based on graph theory and multivariate statistical analysis theory.
Web of Science® Times Cited: 17 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 21
View record in SCOPUS® [Free preview]
 New Fault Discrimination under the Influence of Rayleigh Noise, ZHANG, Y., WANG, Z., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03005 [CrossRef] [Full text]
 Analysis of Chain of Events in Major Historic Power Outages, HUANG, T., VORONCA, S. L., PURCAREA, A. A., ESTEBSARI, A., BOMPARD, E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.03008 [CrossRef] [Full text]
 Fault Identification Based on Nlpca in Complex Electrical Engineering, Zhang, Yagang, Wang, Zengping, Zhang, Jinfang, Journal of Electrical Engineering, ISSN 1335-3632, Issue 4, Volume 63, 2012.
Digital Object Identifier: 10.2478/v10187-012-0036-4 [CrossRef]
 Circuit theory approach for voltage stability assessment of reconfigured power network, Chitra, Subramanian, Devarajan, Narayanasamy, IET Circuits, Devices & Systems, ISSN 1751-858X, Issue 6, Volume 8, 2014.
Digital Object Identifier: 10.1049/iet-cds.2013.0325 [CrossRef]
 PCA Fault Feature Extraction in Complex Electric Power Systems, ZHANG, Y., WANG, Z., ZHANG, J., MA, J., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 10, 2010.
Digital Object Identifier: 10.4316/aece.2010.03017 [CrossRef] [Full text]
 A Novel Fault Identification Using WAMS/PMU, ZHANG, Y., WANG, Z., ZHANG, J., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 12, 2012.
Digital Object Identifier: 10.4316/aece.2012.02004 [CrossRef] [Full text]
 Wide-Area Protection Fault Identification Algorithm Based on Multi-Information Fusion, Zhenxing Li, , Xianggen Yin, , Zhe Zhang, , Zhiqin He,, IEEE Transactions on Power Delivery, ISSN 0885-8977, Issue 3, Volume 28, 2013.
Digital Object Identifier: 10.1109/TPWRD.2013.2247638 [CrossRef]
 A Novel Approach to Fault Detection in Complex Electric Power Systems, ZHANG, Y., WANG, Z., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.03003 [CrossRef] [Full text]
 Post-processing of Deep Web Information Extraction Based on Domain Ontology, LIU, L., PENG, T., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.04005 [CrossRef] [Full text]
 Software Tool for Real-Time Power Quality Analysis, MIRON, A., CHINDRIS, M. D., CZIKER, A. C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.04021 [CrossRef] [Full text]
 Bayes-Based Fault Discrimination in Wide Area Backup Protection, WANG, Z., ZHANG, J., ZHANG, Y., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 12, 2012.
Digital Object Identifier: 10.4316/aece.2012.01015 [CrossRef] [Full text]
 Principal components fault location based on WAMS/PMU measure system, Wang, Zengping, Zhang, Yagang, Zhang, Jinfang, 2011 IEEE Power and Energy Society General Meeting, ISBN 978-1-4577-1000-1, 2011.
Digital Object Identifier: 10.1109/PES.2011.6039102 [CrossRef]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Thomson Reuters, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
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.