To Avoid Malfunction due to Inrush current Using Neural Network Fitting Tool
| Author(s) | : | Vinay Barhate |
| Institution | : | Department of Electrical Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur |
| Published In | : | Vol. 2, Issue 12 — December 2015 |
| Page No. | : | 385-392 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
he growing power system demands a speedy and reliable protection module for Transformer which is its oneof the important link to maintain uninterrupted power supply. The protective module should quickly initiate the trippingduring internal faults and should not allow the tripping during magnetizing inrush. The work reported in this paperdemonstrates the use of Neural Network fitting tool to be incorporated in association with differential relay operation inthe protection scheme. The ANN based algorithm is trained to recognize the waveform pattern which permits the RelayTrip operation only during short circuit conditions due to internal faults and not for inrush current. Modelling of ANNusing feed forward Levenberg-Marquardt Back propagation techniques is used for implementation. The performance ofthe Neural Network has been tested with simulated signal which proved to be the technique having accuracy and fastclassification.
Vinay Barhate, “To Avoid Malfunction due to Inrush current Using Neural Network Fitting Tool”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 12, pp. 385-392, December 2015.
