Abstract: A new voltage-based index is formulated in the time-frequency domain (using wavelets) and the energy of the wavelet coefficients associated with the change in mean voltage is used to extract the islanding features rather than using the energy of the wavelet coefficients themselves as in the prior art. Procrustes analysis is used to design the new wavelet, namely WGM1.0, by only satisfying the minimum properties on the wavelet filter of length 6 (i.e., six coefficients). Machine learning is then used to develop islanding classification models based on the calculated voltage index and the new wavelet. Two classifiers are used for the present invention: Support Vector Machine (SVM) and Ensemble Tree classifier (ETC).