Insulator contour optimization using intelligent systems & soft computational methods

The purpose of this study is to give basic concepts of insulator contour optimization by using intelligent systems and soft computational methods. In this sense, artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used as an optimization method. First training and validation data were collected from electric field distribution of an insulator by using finite element method analysis. Data contains coordinates and electrical field values of the middle point and the top point of the insulator. Then the data sets were used as inputs for ANN and ANFIS to train the algorithms. After the training process, any desired output that the top radius of the insulator was calculated for given input data using both methods. Finally results were compared from each other. The methods successfully are used for insulator contour optimization.