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 |
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Pages | 907-912 |
Number of pages | 6 |
DOIs | |
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 |
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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