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

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4 Author(s)
Ying-Chun Chuang ; Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Yu-Lung Ke ; Chao-Shun Chen ; Yuan-Lin Chen

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

Published in:

IEEE Transactions on Power Systems  (Volume:21 ,  Issue: 3 )