Partial Discharge Location Method for Oil-Impregnated Pressboards Based on PSO Algorithm

Before the breakdown of the insulation material, the growth and aging of electrical trees is an important factor leading to the material’s final breakdown. The morphology and growth law of electrical trees in insulating materials are the theoretical basis for diagnosing the severity of defects in power equipment and timely warning. Therefore, the study of the method of observing the morphology of electrical trees is of great engineering significance for improving the long-term operation of electrical equipment. However, due to the opacity of the pressboard material, there is no effective observation method for the electrical trees generating inside it. In this paper, it is proposed to model the measurement system, establish a mathematical model for solving inverse problem in the electrostatic field, and combine PSO (particle swarm optimization) to solve the inverse problem to achieve partial discharge location. In addition, the objective function of the optimization algorithm is analyzed, and the methods to improve the accuracy of partial discharge location are explored. On the basis of the previous one-dimensional measurement system, a two-dimensional measurement system is proposed to improve the positioning accuracy in the y direction.