Mathematical morphology‐based islanding detection for distributed generation

This study proposes a novel method based on mathematical morphology (MM) for islanding detection in micro‐grid integrated with distributed generation (DG). The method uses basic MM operators like dilate erode difference filter (DEDF) to operate on three‐phase voltage and current signals on target DG location. These filter output values are fed to a new operator defined as the average of the difference between maximum and minimum value of DEDF at each structuring element called K V and K I . Accordingly, a new operator called the MM ratio index (MM RI) of K I to K V is derived. The MM RI computed is used to track the islanding condition from non‐islanding condition. Additionally, to further aid the islanding detection, a mathematical morphological operator close open difference filter on negative sequence voltage is computed, which is passed through a difference operator D . The proposed method is analysed extensively to efficiently detect islanding in electrical power distribution network integrated with DG.