RCA METHOD FOR FAULT DIAGNOSIS IN DIGITAL SUBSTATIONS OF POWER SYSTEMS

Piao Peng, Zhiwei Liao, Fushuan Wen, Jiansheng Huang

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: FCTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 370-378. DOI: 10.5220/0003627403700378


in Bibtex Style

@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 - Volume 1: FCTA, (IJCCI 2011)},
year={2011},
pages={370-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003627403700378},
isbn={978-989-8425-83-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2011)
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