Fault classification technique for series compensated transmission line using support vector machine
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference21 articles.
1. Bogdan Kasztenny. Distance protection of series compensated lines problems and solutions. In: 28th Annual western protective relay conference (GE); October 2001. p. 1–34.
2. Damir Novosel, Arun Phadke, Murari Mohan Saha, Sture Lindahl. Problems and solutions for microprocessor protection of series compensated lines. In: Sixth international conference on developments in power system protection; March 1997. p. 18–23. [Publication no. 434].
3. An adaptive protection scheme for advanced series compensated (ASC) transmission lines;Girgis;IEEE Trans Power Deliver,1998
4. Performance of an adaptive protection scheme for series compensated EHV transmission systems using neural networks;Xuan;Electr Power Syst Res,1996
5. Artificial neural-network-based protective scheme for controllable series compensated EHV transmission lines;Song;IEE Proc C, Gen, Transm Distribut,1996
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