Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A BAYESIAN NETWORK APPROACH FOR FAULT-SECTION ESTIMATION

Authors
Shu Zhou1, Xiaoru Wang, Qingquan Qian
1School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
Corresponding Author
Shu Zhou
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.237How to use a DOI?
Keywords
fault section estimation; Bayesian network; power systems
Abstract

Changes of the network topology of a power system, which are determined by a sequence of operations of breakers, will influence the relationships between relays and protected sections. Further more, the complexity of power systems and the uncertainty of all kinds of information make the relations between faults and information more complicated and the fault-section estimation problem more difficult. In this paper, the causal relationships among protected sections, relays and breakers are analyzed by using the operation information of relays and breakers. A simple fault-section estimation model based on Bayesian network for power systems is proposed.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.237How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shu Zhou
AU  - Xiaoru Wang
AU  - Qingquan Qian
PY  - 2007/10
DA  - 2007/10
TI  - A BAYESIAN NETWORK APPROACH FOR FAULT-SECTION ESTIMATION
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1402
EP  - 1406
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.237
DO  - https://doi.org/10.2991/iske.2007.237
ID  - Zhou2007/10
ER  -