A multi-agent approach to power system disturbance diagnosis

J.A. Hossack; S.D.J. McArthur; J.R. McDonald; J. Stokoe; T. Cumming

doi:10.1049/cp:20020055

A multi-agent approach to power system disturbance diagnosis

J.A. Hossack, S.D.J. McArthur, J.R. McDonald, J. Stokoe, T. Cumming

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

38 Citations (Scopus)

Abstract

Power system disturbance diagnosis is a complex and time consuming task, requiring skilled engineers. Existing intelligent systems which assist with data interpretation require the engineer to further interpret and collate generated information so that a comprehensive diagnosis can be produced. Furthermore, long-term extensibility and flexibility are also restricted. This paper presents a multi-agent approach to power system disturbance diagnosis where existing intelligent systems are wrapped up as intelligent agents and, through a process of inter-agent communication, collaborate to provide disturbance diagnosis. This novel approach enables timely automated disturbance diagnosis within a flexible and extensible architecture.

Original language	English
Pages	317-322
Number of pages	6
DOIs	https://doi.org/10.1049/cp:20020055
Publication status	Published - Apr 2002
Event	5th International Conference on Power System Management and Control - London, United Kingdom Duration: 17 Apr 2002 → 19 Apr 2002

Conference

Conference	5th International Conference on Power System Management and Control
Country/Territory	United Kingdom
City	London
Period	17/04/02 → 19/04/02

Keywords

multi-agent systems
power system faults
power system analysis computing
multi-agent approach
power system disturbance
diagnosis
protection engineering diagnostic agents

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10.1049/cp:20020055

Cite this

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title = "A multi-agent approach to power system disturbance diagnosis",

abstract = "Power system disturbance diagnosis is a complex and time consuming task, requiring skilled engineers. Existing intelligent systems which assist with data interpretation require the engineer to further interpret and collate generated information so that a comprehensive diagnosis can be produced. Furthermore, long-term extensibility and flexibility are also restricted. This paper presents a multi-agent approach to power system disturbance diagnosis where existing intelligent systems are wrapped up as intelligent agents and, through a process of inter-agent communication, collaborate to provide disturbance diagnosis. This novel approach enables timely automated disturbance diagnosis within a flexible and extensible architecture. ",

keywords = "multi-agent systems, power system faults , power system analysis computing, multi-agent approach , power system disturbance, diagnosis, protection engineering diagnostic agents ",

author = "J.A. Hossack and S.D.J. McArthur and J.R. McDonald and J. Stokoe and T. Cumming",

year = "2002",

month = apr,

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note = "5th International Conference on Power System Management and Control ; Conference date: 17-04-2002 Through 19-04-2002",

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T1 - A multi-agent approach to power system disturbance diagnosis

AU - Hossack, J.A.

AU - McArthur, S.D.J.

AU - McDonald, J.R.

AU - Stokoe, J.

AU - Cumming, T.

PY - 2002/4

Y1 - 2002/4

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AB - Power system disturbance diagnosis is a complex and time consuming task, requiring skilled engineers. Existing intelligent systems which assist with data interpretation require the engineer to further interpret and collate generated information so that a comprehensive diagnosis can be produced. Furthermore, long-term extensibility and flexibility are also restricted. This paper presents a multi-agent approach to power system disturbance diagnosis where existing intelligent systems are wrapped up as intelligent agents and, through a process of inter-agent communication, collaborate to provide disturbance diagnosis. This novel approach enables timely automated disturbance diagnosis within a flexible and extensible architecture.

KW - multi-agent systems

KW - power system faults

KW - power system analysis computing

KW - multi-agent approach

KW - power system disturbance

KW - diagnosis

KW - protection engineering diagnostic agents

U2 - 10.1049/cp:20020055

DO - 10.1049/cp:20020055

M3 - Paper

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EP - 322

T2 - 5th International Conference on Power System Management and Control

Y2 - 17 April 2002 through 19 April 2002

ER -

A multi-agent approach to power system disturbance diagnosis

Abstract

Conference

Keywords

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