Islanding detection of microgrid using Neural Network

Islanding detection in Distributed Generation is one of the most vital aspect from protection point of view, various existing techniques of islanding detection are discussed. In this paper, multilayer neural networks has been used to classify islanding detection with other power quality events such as capacitor switching and load switching. The paper also highlights about the requirement of an efficient classifier which can detect the unintentional islanding with more accuracy within a comparatively less amount of time. Moreover the paper is focused on Islanding detection issues in Distributed generation with high penetration of wind energy.