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A Novel Approach to Fault Detection in Complex Electric Power SystemsZHANG, Y.   , WANG, Z. |
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Author keywords
wide area measurement system, wide area backup protection, topology analysis, fault detection, Rayleigh disturbance
References keywords
power(24), systems(15), jijepes(6), fault(6), energy(6), electric(6), wide(5), system(5), research(5), protection(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 27 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03003
Web of Science Accession Number: 000340869800003
SCOPUS ID: 84907377086
Abstract
The new type of backup protection can utilize different kinds of information in a larger scale. The research of this paper is focused on the centralized decision and distributed implementation of wide area backup protection system in large-scale power grid. Topology analysis of power network is substantially network connectivity judgment. The operation conditions in case of a failure should be truthfully reflected in the actual structure of network topology, which requires the system failure must be detected promptly and accurately, and prepare for the subsequent adjustment of operation scheme. In the research of this paper, for different kinds of complex system failures, we have put forward a novel fault factor analysis scheme which can realize rapid, accurate and effective fault detection. Many simulations have verified that the fault factor analysis can successfully detect the failures in complex electric power system. |
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[1] New Developments of Characteristic Analysis in Wireless Sensor Networks, Sun, Yi, Zhang, Yagang, IETE Journal of Research, ISSN 0377-2063, Issue 2, Volume 62, 2016.
Digital Object Identifier: 10.1080/03772063.2015.1084897 [CrossRef]
[2] Wind energy prediction with LS‐SVM based on Lorenz perturbation, Zhang, Yagang, Wang, Penghui, Zhang, Chenhong, Lei, Shuang, The Journal of Engineering, ISSN 2051-3305, Issue 13, Volume 2017, 2017.
Digital Object Identifier: 10.1049/joe.2017.0626 [CrossRef]
[3] The detection of multiple faults in a Bayesian setting using dynamic programming approaches, Habibi, Hamed, Howard, Ian, Habibi, Reza, Signal Processing, ISSN 0165-1684, Issue , 2020.
Digital Object Identifier: 10.1016/j.sigpro.2020.107618 [CrossRef]
[4] Fault Correspondence Analysis in Complex Electric Power Systems, WANG, C., ZHANG, Y., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.01002 [CrossRef] [Full text]
[5] Association Analysis of System Failure in Wide Area Backup Protection System, Zhang, Yagang, Sun, Yi, International Journal of Emerging Electric Power Systems, ISSN 2194-5756, Issue 6, Volume 16, 2015.
Digital Object Identifier: 10.1515/ijeeps-2015-0046 [CrossRef]
[6] Fault diagnosis and prediction of complex system based on Hidden Markov model, Li, Chen, Wei, Fajie, Wang, Cheng, Zhou, Shenghan, Guirao, Juan L.G., Gao, Wei, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 5, Volume 33, 2017.
Digital Object Identifier: 10.3233/JIFS-169344 [CrossRef]
[7] Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical Systems, Tariq, Muhammad, Ali, Mansoor, Naeem, Faisal, Poor, H. Vincent, IEEE Internet of Things Journal, ISSN 2327-4662, Issue 7, Volume 8, 2021.
Digital Object Identifier: 10.1109/JIOT.2020.3042090 [CrossRef]
[8] New Progress in Wind Prediction Based on Nonlinear Amendment, Zhang, Yagang, Yang, Jingyun, Wang, Kangcheng, Zhao, Zheng, Liu, Jinkang, Wang, Yinding, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, ISBN 978-1-4799-6719-3, 2014.
Digital Object Identifier: 10.1109/BDCloud.2014.13 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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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.
