Contour Optimization of Suspension Insulators Using Dynamically Adjustable Genetic Algorithms

Abstract

Electrical-field distribution along the insulator surface strongly depends upon the contour design, besides the effect of pollution. The insulator contour should be designed to reach a desired uniform and minimal tangential field to increase the onset voltage of surface flashover. In this paper, with the charge simulation method (CSM) integrated, the dynamically adjustable genetic algorithm (DAGA) approach is proposed for contour optimization of a suspension insulator. The aim of the contour optimization is to minimize and make the tangential electric field uniform and to minimize the size of the insulator, subject to design constraints. In the proposed approach, the cubic spline function based on control (or contour) points on the insulator surface is optimized to derive the desired contour. The results show that a rather uniform and minimal tangential field distribution with a smaller suspension insulator can be obtained through the proposed approach in comparison with the commercial insulator practically deployed in transmission systems.