Islanding Detection of PV-based Microgrid based on Empirical Mode Decomposition and Decision Tree

Islanding detection in microgrid has become an integral part of protection system. To enhance reliability, stability and power quality it is required to detect islanding condition accurately and quickly as per IEEE standard. This article proposes a new islanding detection strategy for PV-based microgrid using an efficient signal processing tool Empirical mode decomposition (EMD) and Decision Tree (DT) machine learning classifier. The efficacy of proposed technique is validated by comparing with competitive published techniques