Abstract: A knowledge-based system is defined that ensures network radiatity during reconfiguration of a power distribution system. Network radiality heuristics idenufy a pair of switching operations that will preserve radiality. A line section table specifies the line section identifier, start bus, end bus, line section type, and switch existence for each line section in the network. A bus table identifies the line section that supplies the bus and those line sections that are fed by the bus for each bus in the network. A matrix-structured knowledge base with five distinct rule bases is used. The line section and bus tables must be updated after any switching operations are enacted. Extensive simulations of the knowledge-based system revealed that a solution was found in a time-efficient manner. This knowledge-based system enhances network reliability and hence prevents power outages.

Abstract: The radial distribution system is the most commonly used power distribution system, but lacks reliability because there is only one power source for a group of customers. A knowledge-based system is defined that ensures network radiality during reconfiguration of a power distribution system. Network radiality heuristics identify a pair of switching operations that will preserve radiality. A line section table specifies the line section identifier, start bus, end bus, line section type, and switch existence for each line section in the network. A bus table identifies the line section that supplies the bus and those line sections that are fed by the bus for each bus in the network. A matrix-structured knowledge base with five distinct rule bases is used. Rule base A is used in determining which other rule bases to activate.