چكيده به لاتين
Many of the long-term problems of polymeric insulators, including the erosion and aging of polymeric materials, the occurrence of corona at the level of the insulator and electrical breakdown, are due to the distribution of the electric field along the insulator. Therefore, the use of an improved corona ring to adjust the electric field of insulators is considered as one of the best methods available to deal with these problems. In this thesis, in order to optimize the corona ring at the High voltage level, using the FEM-PSO combination method, at first, the electric field and potential on a surface of a 230 kV polymer insulator under clean and dry conditions is simulated by using the Comsol Multyphysics software package, based on the The finite element method (FEM). and the information is stored. Then, defining an objective function that involves a nonlinear mathematical relation between the three parameters of the corona ring (installation height, ring radius, and ring thickness) and the electric field, and using three optimization methods, including particle swarm optimization With dynamic population size, particle swarm optimization With gradual reduction population size and particle swarm optimization With fixed population size by coding in Matlab software are done in order to find the best corona ring optimization method. the results of each method are analyzed. It is concluded that the optimal design of the corona ring is achieved by using particle swarm optimization With dynamic population size due to to more precise, faster, and better convergence and the optimal global response of the target function. then The results are verified. In the end, the results of the thesis are discussed and suggestions are made for further work.
