Application of artificial intelligent technique for partial discharges localization in oil insulating transformer

Partial discharges in a power transformer are often a predecessor of serious fault, as Power transformers are fundamental apparatuses in electrical power system network. Thus, partial discharge measurement are a significant diagnostic tool to supervise the insulation state of a power transformer, as elementry Partial Discharges (PD) detection is not adequate to make a decision about intervening, so the localization is required to evaluate the risk and to plan rectification actions. Acoustic signals collected by piezoelectric sensors established outside of the transformer, supply the accurate position of PD as parameters. Conclusion demonstrates the efficacious of suggested solution for PD source localization in oil insulating power transformers using Adaptive Tabu Search (ATS).