Automated post-fault diagnosis of power system disturbances

S.D.J. McArthur, E.M. Davidson

Research output: Contribution to conferencePaper

8 Citations (Scopus)

Abstract

In order to automate the analysis of SCADA and digital fault recorder (DFR) data for a transmission network operator in the UK, the authors have developed an industrial strength multi-agent system entitled protection engineering diagnostic agents (PEDA). The PEDA system integrates a number of legacy intelligent systems for analyzing power system data as autonomous intelligent agents. The integration achieved through multi-agent systems technology enhances the diagnostic support offered to engineers by focusing the analysis on the most pertinent DFR data based on the results of the analysis of SCADA. Since November 2004 the PEDA system has been operating online at a UK utility. In this paper the authors focus on the underlying intelligent system techniques, i.e. rule-based expert systems, model-based reasoning and state-of-the-art multi-agent system technology, that PEDA employs and the lessons learnt through its deployment and online use.
LanguageEnglish
Pages1 - 6
Number of pages6
DOIs
Publication statusPublished - 16 Oct 2006
EventPower Engineering Society General Meeting - Montreal, Que., Canada
Duration: 18 Jun 200622 Jun 2006

Conference

ConferencePower Engineering Society General Meeting
CountryCanada
CityMontreal, Que.
Period18/06/0622/06/06

Fingerprint

Failure analysis
Multi agent systems
Intelligent systems
Intelligent agents
Electric power transmission networks
Expert systems
Engineers

Keywords

  • data engineering
  • industrial power systems
  • intelligent agents
  • intelligent systems
  • multiagent systems
  • power engineering and energy
  • power system analysis computing

Cite this

McArthur, S. D. J., & Davidson, E. M. (2006). Automated post-fault diagnosis of power system disturbances. 1 - 6. Paper presented at Power Engineering Society General Meeting, Montreal, Que., Canada. https://doi.org/10.1109/PES.2006.1709651
McArthur, S.D.J. ; Davidson, E.M. / Automated post-fault diagnosis of power system disturbances. Paper presented at Power Engineering Society General Meeting, Montreal, Que., Canada.6 p.
@conference{cfb82261d51345349c9dbb3a10bf5415,
title = "Automated post-fault diagnosis of power system disturbances",
abstract = "In order to automate the analysis of SCADA and digital fault recorder (DFR) data for a transmission network operator in the UK, the authors have developed an industrial strength multi-agent system entitled protection engineering diagnostic agents (PEDA). The PEDA system integrates a number of legacy intelligent systems for analyzing power system data as autonomous intelligent agents. The integration achieved through multi-agent systems technology enhances the diagnostic support offered to engineers by focusing the analysis on the most pertinent DFR data based on the results of the analysis of SCADA. Since November 2004 the PEDA system has been operating online at a UK utility. In this paper the authors focus on the underlying intelligent system techniques, i.e. rule-based expert systems, model-based reasoning and state-of-the-art multi-agent system technology, that PEDA employs and the lessons learnt through its deployment and online use.",
keywords = "data engineering, industrial power systems , intelligent agents, intelligent systems, multiagent systems , power engineering and energy , power system analysis computing",
author = "S.D.J. McArthur and E.M. Davidson",
year = "2006",
month = "10",
day = "16",
doi = "10.1109/PES.2006.1709651",
language = "English",
pages = "1 -- 6",
note = "Power Engineering Society General Meeting ; Conference date: 18-06-2006 Through 22-06-2006",

}

McArthur, SDJ & Davidson, EM 2006, 'Automated post-fault diagnosis of power system disturbances' Paper presented at Power Engineering Society General Meeting, Montreal, Que., Canada, 18/06/06 - 22/06/06, pp. 1 - 6. https://doi.org/10.1109/PES.2006.1709651

Automated post-fault diagnosis of power system disturbances. / McArthur, S.D.J.; Davidson, E.M.

2006. 1 - 6 Paper presented at Power Engineering Society General Meeting, Montreal, Que., Canada.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Automated post-fault diagnosis of power system disturbances

AU - McArthur, S.D.J.

AU - Davidson, E.M.

PY - 2006/10/16

Y1 - 2006/10/16

N2 - In order to automate the analysis of SCADA and digital fault recorder (DFR) data for a transmission network operator in the UK, the authors have developed an industrial strength multi-agent system entitled protection engineering diagnostic agents (PEDA). The PEDA system integrates a number of legacy intelligent systems for analyzing power system data as autonomous intelligent agents. The integration achieved through multi-agent systems technology enhances the diagnostic support offered to engineers by focusing the analysis on the most pertinent DFR data based on the results of the analysis of SCADA. Since November 2004 the PEDA system has been operating online at a UK utility. In this paper the authors focus on the underlying intelligent system techniques, i.e. rule-based expert systems, model-based reasoning and state-of-the-art multi-agent system technology, that PEDA employs and the lessons learnt through its deployment and online use.

AB - In order to automate the analysis of SCADA and digital fault recorder (DFR) data for a transmission network operator in the UK, the authors have developed an industrial strength multi-agent system entitled protection engineering diagnostic agents (PEDA). The PEDA system integrates a number of legacy intelligent systems for analyzing power system data as autonomous intelligent agents. The integration achieved through multi-agent systems technology enhances the diagnostic support offered to engineers by focusing the analysis on the most pertinent DFR data based on the results of the analysis of SCADA. Since November 2004 the PEDA system has been operating online at a UK utility. In this paper the authors focus on the underlying intelligent system techniques, i.e. rule-based expert systems, model-based reasoning and state-of-the-art multi-agent system technology, that PEDA employs and the lessons learnt through its deployment and online use.

KW - data engineering

KW - industrial power systems

KW - intelligent agents

KW - intelligent systems

KW - multiagent systems

KW - power engineering and energy

KW - power system analysis computing

U2 - 10.1109/PES.2006.1709651

DO - 10.1109/PES.2006.1709651

M3 - Paper

SP - 1

EP - 6

ER -

McArthur SDJ, Davidson EM. Automated post-fault diagnosis of power system disturbances. 2006. Paper presented at Power Engineering Society General Meeting, Montreal, Que., Canada. https://doi.org/10.1109/PES.2006.1709651