Title :
An Inference Methodology Based on the Local Minimum Tree Search to Solve the Distribution System Events Under Heavy Load Condition
Author_Institution :
Dept. of Electron. Eng., Namseoul Univ., Cheonan, South Korea
fDate :
4/1/2012 12:00:00 AM
Abstract :
This paper proposes an inference methodology that can minimize the spreading effect caused by the occurrence of a feeder fault, a feeder overload, a main transformer fault, or a main transformer overload problem in a distribution system under a heavy load condition. First, the load transfer procedure is decomposed into multisteps and multistages. Then, a new inference methodology for searching the goal nodes as well as the fail nodes based on the local minimum tree search is developed.
Keywords :
fault location; inference mechanisms; power distribution faults; power engineering computing; tree searching; distribution system events; feeder fault; feeder overload; heavy load condition; inference methodology; local minimum tree search; main transformer fault; main transformer overload problem; spreading effect; Aerospace electronics; Circuit faults; Engines; Indexes; Load management; Search methods; Switches; Distribution system; local minimum tree search; main transformer fault; overload problem; service restoration;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2012.2183680