Analytical model for fault section estimation and state identification of unobserved protective relays in power systems [电力系统故障诊断与不可观测保护状态识别的解析模型]

Wen, Fushuan, Zhang, Yong, Zhang, Yan, Chen, Yi-Ping, & Zhou, Hua-Feng (2012) Analytical model for fault section estimation and state identification of unobserved protective relays in power systems [电力系统故障诊断与不可观测保护状态识别的解析模型]. Huanan Ligong Daxue Xuebao (Ziran Kexue Ban) / Journal Of South China University Of Technology (Natural Science), 40(11), pp. 19-28.

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Abstract

In recent years, some models have been proposed for the fault section estimation and state identification of unobserved protective relays (FSE-SIUPR) under the condition of incomplete state information of protective relays. In these models, the temporal alarm information from a faulted power system is not well explored although it is very helpful in compensating the incomplete state information of protective relays, quickly achieving definite fault diagnosis results and evaluating the operating status of protective relays and circuit breakers in complicated fault scenarios. In order to solve this problem, an integrated optimization mathematical model for the FSE-SIUPR, which takes full advantage of the temporal characteristics of alarm messages, is developed in the framework of the well-established temporal constraint network. With this model, the fault evolution procedure can be explained and some states of unobserved protective relays identified. The model is then solved by means of the Tabu search (TS) and finally verified by test results of fault scenarios in a practical power system.

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ID Code: 57759
Item Type: Journal Article
Refereed: No
Additional Information: Publication Title in Chinese: 华南理工大学学报(自然科学版); Authors names in Chinese: 文福拴, 张勇, 张岩, 陈亦平, 周华锋
Keywords: Alarm message, Fault evolution, Fault scenarios, Fault section estimation, Integrated optimization, State identification, State information, Temporal alarm information, Temporal characteristics, Temporal constraints
ISSN: 1000-565X
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the authors]
Deposited On: 05 Mar 2013 00:27
Last Modified: 12 Jun 2013 15:34

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