IDR Logo

Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/566
Title: Data-mining-based intelligent anti-islanding protection relay for distributed generations
Authors: Kar S.
Samantaray S.R.
Issue Date: 2014
Citation: 29
Abstract: A data-mining-based intelligent anti-islanding detection scheme for distributed generation (DG) protection has been presented. The process starts at deriving highly involved features using discrete Fourier transform-based pre-processor at the DG end. The features derived include both positive and negative sequence quantities and related features. Once the features are retrieved, the decision tree is trained to build a data-mining model for identifying the islanding events from non-islanding situations, including disturbances close to islanding conditions. The proposed anti-islanding relay is extensively tested on simulation model and provides encouraging results considering wide variations in operating conditions. Further, the validation is extended on real-time digital simulator module to test the efficacy of the proposed anti-islanding relay. The test results indicate that the proposed anti-islanding relay can reliably detect islanding conditions while meeting the speed criteria. � The Institution of Engineering and Technology 2014.
URI: http://dx.doi.org/1049/iet-gtd.2012.0494
http://10.10.32.48:8080/jspui/handle/2008/566
Appears in Collections:Research Publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.