An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for Partial Discharge Localization in Assembling Capacitor

Assembling capacitor plays an important role in the power grid. The health of assembling capacitor is essential for the power grid’s stability and reli-ability. Research on power capacitors has indicated that majority of the equipment’s failures can be attributed to partial discharge phenomenon. The detection and analysis of partial discharge is the most concerned issue for researchers. In this paper, the development and application of an adaptive inertia weight particle swarm optimization algorithm for partial discharge localization in assembling capacitors have been proposed. It can improve the ability of particle swarm to find global optimal solution. Then, a shortest path algorithm of optimized path searching and time difference method based on a discretized model of ultrasound propagation within the capacitor is presented. The analysis of array elements in the sensor distribution has been discussed. Based on the experimental results, it has been concluded that the proposed algorithm is effective for partial discharge localization in assembling capacitors.