An island detection approach by μ-PMU with reduced chances of cyber attack

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, the paper proposes an intelligent island detection approach by μ-PMU with reduced chances of cyber-attack. This visualisation is furnished with a μ-PMU established on the bus of the respective DG. The obtained voltage data of these μ-PMU are to be treated further via the Fortescue-transform to calculate the sequence component angle within μ-PMU. The difference in angle existing between the positive and negative sequence components is calculated and employed for island detection and carrying out suitable measures. The proposed method is tested on the IEEE-34 node distribution network in Matlab/Simulink. The robust performance of the method is justified through various simulations.