Study of Partial Discharge Localization Using Ultrasonics in Power Transformer Based on Particle Swarm Optimization

The partial discharge source localization by ultrasonic measurements in power transformers is studied by the Particle Swarm optimization (PSO), and the signal parameter estimated model of ultrasonic localization has been established on the basis of the propagation properties of the ultrasonic wave. The experiment result shows that the PSO algorithm possesses high calculation efficiency and high convergence speed, and can efficiently prevent the result from falling into the local optimum, the localization error of the PSO algorithm is clearly better than that of the Least-Square algorithm obviously.