DocumentCode
1195923
Title
A multiagent architecture for protection engineering diagnostic assistance
Author
Hossack, John A. ; Menal, Judith ; McArthur, Stephen D J ; Mcdonald, James R
Author_Institution
Inst. for Energy & Environ., Univ. of Strathclyde, Glasgow, UK
Volume
18
Issue
2
fYear
2003
fDate
5/1/2003 12:00:00 AM
Firstpage
639
Lastpage
647
Abstract
Protection engineers use data from a range of monitoring devices to perform post-fault disturbance diagnosis. In the past, heterogeneous intelligent systems have been developed to interpret the data and provide information to engineers to assist with the disturbance diagnosis task. The majority of these systems remain standalone due to the problems associated with systems integration. This paper proposes the use of multiagent systems for providing a flexible and scalable alternative to existing integration approaches. A novel multiagent system (MAS) has been developed entitled protection engineering diagnostic agents (PEDAs) which integrates a legacy SCADA interpretation system with new systems for digital fault recorder (DFR) record interpretation and for enhancing fault record retrieval from remote DFRs. The use of MAS technology provides a flexible and scalable architecture open to the introduction of new data interpretation systems. The paper discusses the benefits of a multiagent approach and the design and implementation of PEDA.
Keywords
SCADA systems; digital instrumentation; fault diagnosis; multi-agent systems; power system analysis computing; power transmission faults; power transmission protection; recorders; cooperative systems; data interpretation systems; decision support systems; digital fault recorder; fault record retrieval; flexible architecture; intelligent systems; knowledge-based systems; legacy SCADA interpretation system; multiagent architecture; post-fault disturbance diagnosis; power transmission protection; protection engineering diagnostic agents; protection engineering diagnostic assistance; scalable architecture; Artificial intelligence; Data engineering; Decision support systems; Fault diagnosis; Intelligent systems; Monitoring; Multiagent systems; Power engineering and energy; Power system protection; Protocols;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2003.810910
Filename
1198297
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