Optimize single line to ground fault detection in distribution grid power system using artificial bee colony

The most common power system (PS) distribution network fault, single lineto-ground fault (SLGF), causes residual current (I res) to start an electrical arc and high voltage (HV) three times the rated in other healthy phases. HV from capacitive currents (IC) damages cable insulation PS appliances. Peterson neutral point coil (PC) reduces extinguishes electric arc, but fault) remains below protection devices' threshold. Operations equipment are riskier. PC adaptive eliminates arcs, making safer. This paper detects I faults online using Texas instrument validation MATLAB by artificial bee colony (ABC). discusses detection validation. It improves reliability, device protection, copper savings thousands of tons. ABC intelligently optimizes many mathematical problems. with neural intelligence (AI) algorithm performance (artificial (ABCNN)). new method may improve SLGF detection. first work can stations building (eZdsp F28335-RS232) into program send signals control when occurs without damaging devices, equipment, cables, or outages.