Flexible model-based alarm processing for protection performance assessment and incident identification
Edwards, Catherine and Davidson, Euan and McArthur, Stephen and Watt, Ian and Cumming, T. (2013) Flexible model-based alarm processing for protection performance assessment and incident identification. IEEE Transactions on Power Systems, 28 (3). pp. 2584-2591. ISSN 0885-8950 (https://doi.org/10.1109/TPWRS.2013.2243763)
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This paper presents a system, PSDiagnosis, designed to automate the analysis of Supervisory, Control and Data Acquisition (SCADA) data for the assessment of power system protection performance. The model-based system exploits the theory of diagnosis through use of the General Diagnostic Engine (GDE). Models of protection devices combined with the GDE provide the ability to diagnose the maloperation of protection equipment: including multiple faults, missing alarms and new or previously unknown faults. The base requirements were determined in conjunction with a transmission system operator within the U.K. with a major task identified in reducing software maintenance while maintaining an accurate diagnostic result. The novel approaches taken in this system include the provision of dynamically configurable protection device models for reuse on a multitude of different network connections and the modification of the GDE to identify the occurrence of missing alarms. The approach taken ensures that the system is easy to update as the network, equipment and data formats evolve. This paper discusses the requirements, development and application of PSDiagnosis to the transmission network and the experience and results gained from the implementation of an online prototype.
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Item type: Article ID code: 44641 Dates: DateEventAugust 2013Published12 February 2013Published OnlineSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 28 Aug 2013 14:51 Last modified: 03 Aug 2024 06:54 URI: https://strathprints.strath.ac.uk/id/eprint/44641