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 (mu-PMU) are becoming widely popular in distribution system and micro grids. These mu-PMUs can be leveraged for island detection. However, the working of mu-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 mu-PMU with reduced chances of cyber-attack. This visualisation is furnished with a mu-PMU established on the bus of the respective DG. The obtained voltage data of these mu-PMU are to be treated further via the Fortescue-transform to calculate the sequence component angle within mu-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.

Automated summary

The paper proposes an intelligent island detection approach using mu-PMU with reduced chances of cyber-attack. By establishing mu-PMU on the bus of the respective DG and processing the voltage data through Fortescue transform, the method calculates the sequence component angle within mu-PMU. The difference in angle between the positive and negative sequence components is utilized for island detection and implementing suitable measures.