A New Blocking Method with Dynamic Self-Adaptive PSO Applied in Grounding Grid Corrosion Diagnosis

摘要

To make Power system safe and stable, corrosion of grounding grid has become one of the most threatened phenomena and problems. With the object of reducing work force and diagnosing the corrosion situations more quickly and exactly, a new method has been proposed based on blocking way with dynamic self-adaptive PSO. First, irregular grids are supposed to be separated into several regular blocks. Then the diagnosis equations will be constructed so that the original ill conditions can be reduced and the solution accuracy will be increased as well. Accordingly, the problem of solving equations should be changed into optimizing solution of problems. In this paper, a new method called Dynamic Self-Adaptive Particle Swarm Optimization (DSAPSO) is proposed, which utilizes an average rule to estimate the whole swarm to divide it into three parts of different conditions, which are called excellent part, self-adaptive part and also worse part. Such a standard principle is based on the evaluation of fitness. Aiming at different groups, their speeds and positions will be updated with different parameters. And also a self-adaptive method has been added into regulation of parameter. Furthermore, such a dynamic method will do favor in increasing the global searching ability and avoiding from calculating complexity. Eventually, the effectiveness and accuracy of the method is verified by the application in a power station in Jilin Province.