Abstract
PD Source Location Utilizing Acoustic TDOA Signals in Power Transformer by Fuzzy Adaptive Particle Swarm Optimization
Highlights
Partial discharges are the initial root cause of insulation degradation in any high voltage power apparatus
The TDOA method is used for time differences of acoustic emission (AE) signals from a reference sensor to remaining sensors Partial discharge (PD) source location is detected
The PSO result greatly influences on inertia weight (w) and learning factors (c1 & c2) and it may trap into local premature convergence problem
Summary
Partial discharges are the initial root cause of insulation degradation in any high voltage power apparatus. The TDOA (Time Difference of Arrival) method [7], [8] is widely used by many researchers for accurate PD source localization. The TDOA method is used for time differences of AE signals from a reference sensor to remaining sensors PD source location is detected. Gunes et al [22] proposed honey bee mating optimization (HBMO) in designing an ultra-wide band low noise amplifier for delivering maximum power and required noise This HBMO method shown better results than other methods published in the literature. O. Cakir et al [23] investigated the performance of PSO with time difference of arrival average (TDOAA) method for emitter location and the location results shown better position accuracy than other classical methods. The FAPSO has been adopted in the present work for improving the accuracy of PD source localization
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