Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation

Distribution networks frequently experience cross-country failures (CCFs).This study presents research that demonstrates how Cross-Correlation may be used to extract distinctive features from faulty current signals, hence providing a threshold-based technique for fault identification. The most challenging aspect of dealing with HIF syndrome-related CCFs is recognizing and categorizing them. In this research, the complex, aperiodic, asymmetric, nonlinear signals generated by CCF syndrome were recovered using Cross Correlation method. low frequencies are filtered out high pass filter, leaving only positive peak two negative peaks in vicinity as unique correlogram. work, proposed approach put test on modified imbalanced IEEE 240 Bus system. suggested method assessed through lens several different case studies, such switching capacitor bank, reactor string, load, feeder, effects power swing, loads, lightly laden conditions, measurement noise. normal can distinguished their normalized QRS levels. By selecting appropriate sensors Jellyfish optimization method, we also able ascertain which bus housed CCHIF.