Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
400114 | International Journal of Electrical Power & Energy Systems | 2011 | 6 Pages |
Abstract
This paper presents a new approach for discriminating inrush currents from internal faults in case of power transformer protection using Decision Tree (DT). Differential current of one cycle inrush and internal faults are taken as inputs to the Decision Tree with corresponding target outputs as ‘0’ for inrush and ‘1’ for internal fault conditions. The DT is trained with inrush currents and internal faults with wide variations in operating parameters of the power network and provides accurate results in distinguishing inrush currents from internal faults. The proposed DT based algorithm is found to be accurate and robust, and thus highly suitable for power transformer protection.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
S.R. Samantaray, P.K. Dash,