KNOWLEDGE-BASED METHODOLOGY FOR INTELLIGENT SEQUENCE SWITCHING, FAULTIDENTIFICATION AND SERVICE RESTORATION OF DISTRIBUTION-SYSTEM

In this paper a new approach to intelligent sequence switching in subs tations and service restoration of distribution system using finite st ochastic processes in conditional probability is presented. The techni que exploits the results of probability by initially predicting the fu ture stares of the nodes in the search procedure. The knowledge base i s handled through probabilistic reasoning. This is coupled with direct reasoning or searching. This improves the reliability of the heuristi cs. The fault identifier uses deductive logic for identifying the faul t point. The proposed technique is tested for a 66/11 Kv substation, h aving 4 U.G cable feeders with 36 load points and 8 RTUs, in Mysore, S outh India. Copyright (C) 1996 Elsevier Science Ltd