Based On Adaptive Particle Swarm Optimization Algorithm Of Transformer Partial Discharge Ultrasonic Positioning Technology

In the power system, the insulation condition of large power transformer affects the safe and stable operation of the whole system, most the failures are due to the transformer partial discharge, however, the deterioration of transformer insulation is the main reason of transformer partial discharge. According to dielectric degradation process in a number of characteristic parameters to evaluate the state of insulation, including capacitance, dielectric loss angle tangent, leakage current, partial discharge, etc. The partial discharge mainly reflects the local situation of dielectric, so it plays an irreplaceable role in insulation testing. The detection and location of the transformer partial discharge is also one of the priorities in the power sector. Ultrasonic positioning method is the partial discharge detection and localization of the most traditional and most important method, and the key of ultrasonic is positioning algorithm problems. This paper has made more deeply research about the ultrasonic positioning method and positioning algorithm.Firstly, the paper analyzes the causes and characteristics of the transformer partial discharge, at the same time, researches the mechanism of partial discharge of ultrasound studies at the same time and the ultrasonic attenuation and velocity inside the transformer has been measured, all above this will provide a reliable basis for the ultrasonic positioning; Secondly, the ultrasound localization algorithm was deeply studied, in order to improve the shortcomings of the basic particle swarm algorithm, and proposes the adaptive particle swarm algorithm, this algorithm can overcome the PSO is easy to fall into local optimum drawback, adaptive particle swarm algorithm is applied to ultrasonic positioning; Finally, a mathematical model of ultrasound was established and converted it to an optimization problem with constraints, and then locating transformer partial discharge point by the design of the detection system and data on-site detection.