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 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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samantaray.pdf | 1.08 MB | Adobe PDF | View/Open |
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