This study presents a novel inference mechanism to determine appropriate switching operations by 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.
IEEE Transactions on Power Systems, v. 21, no. 3, August 2006, p. 1362-1370