Open AccessSVM based pattern recognised islanding detection approach in a multiple distributed generation system
Author(s) -
Gundala Srinivasa Rao,
G. Kesava Rao
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.9559
Subject(s) - islanding , distributed generation , computer science , support vector machine , distributed power generation , real time computing , engineering , artificial intelligence , electrical engineering , renewable energy
The penetration of Distributed generation (DG) ensures the increase of demand for consistent, reasonable and spotless electricity facing with some design and operational challenges such as islanding. Several active and passive methods have been suggested in the past to detect islanding. Since they suffer from the large non detection zone and a high cost. In order to defeat such issues we propose a SVM based pattern recognising approach for islanding detection in a multiple DG system. The results show that our proposed method detects islanding with high accuracy.