Progressive power system data interpretation and information dissemination

J.A. Hossack; G.M. Burt; J. McDonald; T. Cumming; J. Stokoe

doi:10.1109/TDC.2001.971360

Progressive power system data interpretation and information dissemination

J.A. Hossack, G.M. Burt, J. McDonald, T. Cumming, J. Stokoe

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

13 Citations (Scopus)

Abstract

The diversity and number of power system monitoring devices installed within networks has increased greatly in recent years, resulting in increased data volumes requiring interpretation by engineers. A progressive approach to power system data retrieval, interpretation and information dissemination is presented offering significant time savings and enhanced utility of monitoring devices through dissemination of generated information. Supervisory Control and Data Acquisition (SCADA) alarms are retrieved and interpreted to identify incidents and events. This Information is then further enhanced by the automatic retrieval and interpretation of Digital Fault Recorder (DFR) records and Travelling Wave Fault Locator data records using intelligent systems employing Knowledge Based Systems (KBS) and Model Based Diagnosis (MBD) reasoning paradigms.

Original language	English
Pages	907-912
Number of pages	6
DOIs	https://doi.org/10.1109/TDC.2001.971360
Publication status	Published - Oct 2001
Event	16th IEEE/PES Transmission and Distribution Conference and Exposition - Atlanta, United States Duration: 28 Oct 2001 → 2 Nov 2001

Conference

Conference	16th IEEE/PES Transmission and Distribution Conference and Exposition
Country/Territory	United States
City	Atlanta
Period	28/10/01 → 2/11/01

Keywords

decision support systems
power system protection
knowledge based systems
intelligent systems
fault diagnosis
progressive power system
data interpretation
information dissemination

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10.1109/TDC.2001.971360

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title = "Progressive power system data interpretation and information dissemination",

abstract = "The diversity and number of power system monitoring devices installed within networks has increased greatly in recent years, resulting in increased data volumes requiring interpretation by engineers. A progressive approach to power system data retrieval, interpretation and information dissemination is presented offering significant time savings and enhanced utility of monitoring devices through dissemination of generated information. Supervisory Control and Data Acquisition (SCADA) alarms are retrieved and interpreted to identify incidents and events. This Information is then further enhanced by the automatic retrieval and interpretation of Digital Fault Recorder (DFR) records and Travelling Wave Fault Locator data records using intelligent systems employing Knowledge Based Systems (KBS) and Model Based Diagnosis (MBD) reasoning paradigms.",

keywords = "decision support systems, power system protection, knowledge based systems, intelligent systems, fault diagnosis, progressive power system, data interpretation, information dissemination",

author = "J.A. Hossack and G.M. Burt and J. McDonald and T. Cumming and J. Stokoe",

year = "2001",

month = oct,

doi = "10.1109/TDC.2001.971360",

language = "English",

pages = "907--912",

note = "16th IEEE/PES Transmission and Distribution Conference and Exposition ; Conference date: 28-10-2001 Through 02-11-2001",

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AU - Hossack, J.A.

AU - Burt, G.M.

AU - McDonald, J.

AU - Cumming, T.

AU - Stokoe, J.

PY - 2001/10

Y1 - 2001/10

N2 - The diversity and number of power system monitoring devices installed within networks has increased greatly in recent years, resulting in increased data volumes requiring interpretation by engineers. A progressive approach to power system data retrieval, interpretation and information dissemination is presented offering significant time savings and enhanced utility of monitoring devices through dissemination of generated information. Supervisory Control and Data Acquisition (SCADA) alarms are retrieved and interpreted to identify incidents and events. This Information is then further enhanced by the automatic retrieval and interpretation of Digital Fault Recorder (DFR) records and Travelling Wave Fault Locator data records using intelligent systems employing Knowledge Based Systems (KBS) and Model Based Diagnosis (MBD) reasoning paradigms.

AB - The diversity and number of power system monitoring devices installed within networks has increased greatly in recent years, resulting in increased data volumes requiring interpretation by engineers. A progressive approach to power system data retrieval, interpretation and information dissemination is presented offering significant time savings and enhanced utility of monitoring devices through dissemination of generated information. Supervisory Control and Data Acquisition (SCADA) alarms are retrieved and interpreted to identify incidents and events. This Information is then further enhanced by the automatic retrieval and interpretation of Digital Fault Recorder (DFR) records and Travelling Wave Fault Locator data records using intelligent systems employing Knowledge Based Systems (KBS) and Model Based Diagnosis (MBD) reasoning paradigms.

KW - decision support systems

KW - power system protection

KW - knowledge based systems

KW - intelligent systems

KW - fault diagnosis

KW - progressive power system

KW - data interpretation

KW - information dissemination

U2 - 10.1109/TDC.2001.971360

DO - 10.1109/TDC.2001.971360

M3 - Paper

SP - 907

EP - 912

T2 - 16th IEEE/PES Transmission and Distribution Conference and Exposition

Y2 - 28 October 2001 through 2 November 2001

ER -

Progressive power system data interpretation and information dissemination

Abstract

Conference

Keywords

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