DocumentCode :
2364375
Title :
Web Services for Automated Fault Analysis in Electrical Power System
Author :
Musaruddin, Mustarum ; Zivanovic, Rastko
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Adelaide Adelaide, Adelaide, SA, Australia
fYear :
2009
fDate :
25-27 Aug. 2009
Firstpage :
829
Lastpage :
832
Abstract :
Web Services for Automated Fault Analysis (WS-AFA) in Electrical Power System is described in this paper. WS-AFA is a new solution to investigate and analyze fault and disturbance records from Digital Fault Recorders (DFRs) or other Intelligent Electronic Devices (IEDs) in substations. The paper describes the overall system architecture as well as the implementation of the services. C# and Dot NET technology has been successfully used for efficient implementation of the Web services. WS-AFA is composed of signal segmentation, signal analysis, fault type classification, fault recorded viewer and fault location services. Such services are designed to enhance manual investigation performed by engineers in power utility.
Keywords :
C++ language; Web services; fault location; power system faults; signal processing; substation automation; C#; Dot NET technology; Web services for automated fault analysis; digital fault recorders; electrical power system; fault location services; fault recorded viewer; fault type classification; intelligent electronic devices; overall system architecture; power utility; signal analysis; signal segmentation; substations; Circuit faults; Control systems; Information analysis; Power engineering and energy; Power system analysis computing; Power system faults; Power system protection; SCADA systems; Service oriented architecture; Web services; Automated Fault Analysis; Service-Oriented Architecture; Web Services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
Type :
conf
DOI :
10.1109/NCM.2009.352
Filename :
5331649
Link To Document :
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