Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 15-24 |
| Seitenumfang | 10 |
| Fachzeitschrift | Intelligent systems engineering |
| Jahrgang | 2 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 1993 |
Abstract
We have implemented a real-time expert system as part of a supervisory control and data acquisition system for the Public Utilities Board of Singapore, controlling its 22 kV distribution network. It works as an operator support tool by diagnosing network disturbances and device malfunctions, and by presenting a switching sequence which can be executed immediately to restore supply. In this paper we describe how the expert system is integrated into a large supervisory control and data acquisition system for power distribution networks. The necessary techniques to cover on-line processing of real-time data, intelligent alarm processing and network reconfiguration/restoration are discussed. The expert system is based on a hierarchic multi-level problem-solving architecture, integrating model-based, heuristic and algorithmic techniques acting on an object-oriented data structure. Techniques such as the automatic creation and update of the knowledge base, event filtering, on-line event processing, and structural and temporal focusing have been implemented to enable the system to perform its task on-line and in real time.
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in: Intelligent systems engineering, Jahrgang 2, Nr. 1, 1993, S. 15-24.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - On-line expert system for power system diagnosis and restoration
AU - Brunner, Thomas
AU - Nejdl, Wolfgang
AU - Schwarzjirg, Harald
AU - Sturm, Monika
PY - 1993
Y1 - 1993
N2 - We have implemented a real-time expert system as part of a supervisory control and data acquisition system for the Public Utilities Board of Singapore, controlling its 22 kV distribution network. It works as an operator support tool by diagnosing network disturbances and device malfunctions, and by presenting a switching sequence which can be executed immediately to restore supply. In this paper we describe how the expert system is integrated into a large supervisory control and data acquisition system for power distribution networks. The necessary techniques to cover on-line processing of real-time data, intelligent alarm processing and network reconfiguration/restoration are discussed. The expert system is based on a hierarchic multi-level problem-solving architecture, integrating model-based, heuristic and algorithmic techniques acting on an object-oriented data structure. Techniques such as the automatic creation and update of the knowledge base, event filtering, on-line event processing, and structural and temporal focusing have been implemented to enable the system to perform its task on-line and in real time.
AB - We have implemented a real-time expert system as part of a supervisory control and data acquisition system for the Public Utilities Board of Singapore, controlling its 22 kV distribution network. It works as an operator support tool by diagnosing network disturbances and device malfunctions, and by presenting a switching sequence which can be executed immediately to restore supply. In this paper we describe how the expert system is integrated into a large supervisory control and data acquisition system for power distribution networks. The necessary techniques to cover on-line processing of real-time data, intelligent alarm processing and network reconfiguration/restoration are discussed. The expert system is based on a hierarchic multi-level problem-solving architecture, integrating model-based, heuristic and algorithmic techniques acting on an object-oriented data structure. Techniques such as the automatic creation and update of the knowledge base, event filtering, on-line event processing, and structural and temporal focusing have been implemented to enable the system to perform its task on-line and in real time.
UR - http://www.scopus.com/inward/record.url?scp=0027556496&partnerID=8YFLogxK
U2 - 10.1049/ise.1993.0003
DO - 10.1049/ise.1993.0003
M3 - Article
AN - SCOPUS:0027556496
VL - 2
SP - 15
EP - 24
JO - Intelligent systems engineering
JF - Intelligent systems engineering
SN - 0963-9640
IS - 1
ER -