Prediction for Magnitude of Short Circuit Current in Power Distribution System Based on ANN

Abstract

With the growth seen by power systems lately, short circuits have become some of the most common and damaging power system failures. Accurate forecasting of short circuit faults and predicting for magnitude of short circuit current are becoming increasingly important. Power system short circuit fault research is a basic technological problem, but at the same time a rather difficult one, which has played an important role in the design of smart grids. The introduction of ANN prediction has led to improved results over prior art fault diagnosis technologies. Although it has been employed with good results in various fields, reports of its application in power distribution short-circuit current prediction are rather limited. This article introduces the ANN theory in the sphere of short-circuit current prediction in power distribution systems. The prediction model formulated shall serve as theoretical foundation for the design of intelligent switching equipment, with global and selective protection, very likely to be found in future smart grids.