A new analytic approach for power system fault diagnosis employing the temporal information of alarm messages

Guo, Wenxin, Wen, Fushuan, Ledwich, Gerard, Liao, Zhiwei, He, Xiangzhen, & Huang, Jiansheng (2012) A new analytic approach for power system fault diagnosis employing the temporal information of alarm messages. International Journal of Electrical Power and Energy Systems, 43(1), pp. 1204-1212.

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Traditional analytic models for power system fault diagnosis are usually formulated as an unconstrained 0–1 integer programming problem. The key issue of the models is to seek the fault hypothesis that minimizes the discrepancy between the actual and the expected states of the concerned protective relays and circuit breakers. The temporal information of alarm messages has not been well utilized in these methods, and as a result, the diagnosis results may be not unique and hence indefinite, especially when complicated and multiple faults occur. In order to solve this problem, this paper presents a novel analytic model employing the temporal information of alarm messages along with the concept of related path. The temporal relationship among the actions of protective relays and circuit breakers, and the different protection configurations in a modern power system can be reasonably represented by the developed model, and therefore, the diagnosed results will be more definite under different circumstances of faults. Finally, an actual power system fault was served to verify the proposed method.

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ID Code: 52928
Item Type: Journal Article
Refereed: Yes
Keywords: Power system, Fault diagnosis, Analytical model, Alarm message, Temporal information, Related path
DOI: 10.1016/j.ijepes.2012.06.064
ISSN: 0142-0615
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 05 Aug 2012 22:08
Last Modified: 10 Aug 2012 00:07

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