경험적 탐색기법에 근거한 배전계통의 선로 재구성 앨고리즘

NETWORK RECONFIGURATION ALGORITHM FOR AUTOMATED DISTRIBUTION SYSTEM BASED ON THE BEST-FIRST TREE SEARCH

This study develops an expert system which solves the problems of the MTr/feeder overloads and the feeder constraints in automated radial distribution systems. Then, the objective is to perform the network reconfiguration by switching the tie and sectionalizing switches which eliminates the system violation, while achieving the load balance of the MTrs/feeders. To reduce the search space, an expert system based on heuristic rules is presented, and implemented in AI language Prolog. This system adopts the best-first tree search technique. The computational results are also prepared to show the performance of the heuristic algorithm developed.