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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/337

Title: A novel distance protection scheme using time-frequency analysis and pattern recognition approach
Authors: Dash, P K
Samantaray, S R
Keywords: ANFIS
Change energy
Cubic interpolation
Distance protection
HS-transform
Neural network
Issue Date: 2006
Publisher: Elsevier
Citation: International Journal of Electrical Power & Energy Systems
Abstract: This paper presents a new approach for distance protection of transmission lines using time-frequency analysis. The proposed technique consists of preprocessing the fault current signal samples using hyperbolic S-transform to yield the change in energy and standard deviation at the appropriate window variation. From these two features, a decision of fault or no-fault on any phase or multiple phases of the transmission line can be made. The ground detection is done by a proposed indicator with a threshold value. The fault distance from the relaying point can be accurately estimated using cubic polynomial interpolation technique, Feed forward Neural Network and Adaptive Network Fuzzy Inference System (ANFIS).
Description: Copyright for this article belongs to elsevier. doi:10.1016/j.ijepes.2006.06.002
URI: http://hdl.handle.net/2080/337
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