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Authors: Piao Peng 1 ; Zhiwei Liao 1 ; Fushuan Wen 2 and Jiansheng Huang 3

Affiliations: 1 School of Electrical Engineering and South China University of Technology, China ; 2 School of Electrical Engineering and Zhejiang University, China ; 3 School of Computing and Mathematics and University of Western Sydney, Australia

Keyword(s): Digital substation, Fault diagnosis, Root cause analysis, Dempster/shafer theory, Fishbone diagram.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer-Supported Education ; Domain Applications and Case Studies ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; System Identification and Fault Detection ; Theory and Methods

Abstract: The authors present a Cause-Effect fault diagnosis model, which utilises the Root Cause Analysis approach and takes into account the technical features of a digital substation. The Dempster/Shafer evidence theory is used to integrate different types of fault information in the diagnosis model so as to implement a hierarchical, systematic and comprehensive diagnosis based on the logic relationship between the parent and child nodes such as transformer/circuit-breaker/transmission-line, and between the root and child causes. A real fault scenario is investigated in the case study to demonstrate the developed approach in diagnosing malfunction of protective relays and/or circuit breakers, miss or false alarms, and other commonly encountered faults at a modern digital substation.

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Paper citation in several formats:
Peng, P.; Liao, Z.; Wen, F. and Huang, J. (2011). RCA METHOD FOR FAULT DIAGNOSIS IN DIGITAL SUBSTATIONS OF POWER SYSTEMS. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA; ISBN 978-989-8425-83-6, SciTePress, pages 370-378. DOI: 10.5220/0003627403700378

@conference{fcta11,
author={Piao Peng. and Zhiwei Liao. and Fushuan Wen. and Jiansheng Huang.},
title={RCA METHOD FOR FAULT DIAGNOSIS IN DIGITAL SUBSTATIONS OF POWER SYSTEMS},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA},
year={2011},
pages={370-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003627403700378},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA
TI - RCA METHOD FOR FAULT DIAGNOSIS IN DIGITAL SUBSTATIONS OF POWER SYSTEMS
SN - 978-989-8425-83-6
AU - Peng, P.
AU - Liao, Z.
AU - Wen, F.
AU - Huang, J.
PY - 2011
SP - 370
EP - 378
DO - 10.5220/0003627403700378
PB - SciTePress