| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 496636 | Applied Soft Computing | 2011 | 9 Pages |
The decision of digital distance relay is very important for making the protection scheme in the transmission system more reliable. As the current signal is taken from the output of the current transformer, the distortion introduced by the saturation in it affects the performance of the distance relay. In this context proper nonlinear modeling of current transformer is necessary and a suitable compensation should be carried out to nullify the distortion introduced by it. In this paper Elman neural network based compensation scheme is proposed and the trip decision due to distorted secondary and compensated secondary current is made to have a comparative assessment of the trip decision of the relay is also done. The impedance trajectory with and without the compensation with quadrilateral trip boundary is also shown in this paper using S-transform to have an understanding of the proposed approach. The series of simulation result reflects the improved performance of the distance relay.
► Impact of current transformer (CT) saturation on distance relay. ► Suitable compensator is designed using Elman recurrent network (ERN) is used to compensate distorted secondary current of the current transformer (CT). ► The Compensation scheme is compared with that of Marquardt–Levenberg (ML) algorithm showing its better performance for reconstruction of secondary current. ► The impedance trajectory with quadrilateral trip boundary is shown using S-transform to study the performance of the compensator. ► Comparative assessment of the distance relay status in terms of tripping time is simulated for distorted and compensated secondary current.
