Rule-expert knowledge-based Petri net approach for distribution system temperature adaptive feeder reconfiguration

Rule-expert knowledge-based Petri net approach for distribution system temperature adaptive feeder reconfiguration

This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations....

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Veröffentlicht in:IEEE transactions on power systems 2006-08, Vol.21 (3), p.1362-1370
Hauptverfasser: Chuang, Y.-C., Ke, Y.-L., Chen, C.-S., Chen, Y.-L.
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive systems
Computer simulation
Contingency
Energy consumption
Faults
Feeder reconfiguration
Feeders
Inference
Inference mechanisms
Knowledge base
load balance
load transfer
Management information systems
Power system modeling
Power system restoration
Reconfiguration
rule-expert knowledge-based Petri net (RKPN)
service restoration
Spinning
Switching
switching operation
Temperature distribution
temperature sensitivity
Temperature sensors
Transformers
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Beschreibung
Zusammenfassung:This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2006.876681