A Hybrid Unintentional Islanding Identification Methodology for IIDGs

The microgrid provides several advantages to the electrical network and a few challenges to electrical engineers. One such challenge is the identification of unintentionally islanded microgrids (UIM). In this work, a hybrid unintentional islanding identification methodology (HUIIM) is proposed based on average absolute d-axis voltage deviation (AADVD), circuit breaker status, and disturbance injection through d-axis current controller. The disturbance is injected by the disturbance injection module (DIM) only after the microgrid is islanded. So, the proposed methodology does not degrade the power quality during the grid-connected mode of operation (GMO). Also, it identifies the islanding condition within 0.14 sec and also clearly distinguishes the non-islanding from the islanding conditions. The proposed methodology is validated in MATLAB/SIMULINK 2022a version.