Unplanned islanding of microgrids is a major hindrance in providing continuous power supply to the critical loads. The detection of these islanding instants needs to be very fast so that the distributed generators (DG) are able to take control actions in minimum time. Due to high quality data at a rapid rate, micro phasor measurement unit (μ-PMU) are becoming widely popular in distribution system and micro grids. These μ-PMUs can be leveraged for island detection. However, the working of μ-PMU is hugely dependent on communication network for data transmission which is prone to cyber-attacks. In view of the above facts, an intelligent island detection approach by μ-PMU with reduced chances of cyber-attack is needed. A high accuracy can be obtained with the application of machine learning.
Weblink of few recent publications related to the work.
Dutta, Soham Dr., "APPLICATION OF MACHINE LEARNING AND CYBER SECURITY IN SMART GRID" (2022). Technical Collection. 20.