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

Author

Chuang, Ying-Chun ; Ke, Yu-Lung ; Chen, Chao-Shun ; Chen, Yuan-Lin

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan

Volume

21

Issue

3

fYear

2006

Firstpage

1362

Lastpage

1370

Abstract

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

Keywords

Petri nets; expert systems; fault diagnosis; inference mechanisms; power distribution faults; power engineering computing; adaptive feeder reconfiguration; computer simulations; distribution system temperature; inference mechanism; load variations; overload-fault contingency; rule-expert knowledge-based Petri net approach; Adaptive systems; Energy consumption; Inference mechanisms; Management information systems; Power system modeling; Power system restoration; Spinning; Temperature distribution; Temperature sensors; Transformers; Feeder reconfiguration; load balance; load transfer; rule-expert knowledge-based Petri net (RKPN); service restoration; switching operation; temperature sensitivity;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2006.876681

Filename

1664973