Contour optimization of suspension insulators using dynamically adjustable genetic algorithms

Wen Shiush Chen, Hong Tzer Yang, Hong Yu Huang

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

摘要

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.

原文English
文章編號5483147
頁(從 - 到)1220-1228
頁數9
期刊IEEE Transactions on Power Delivery
25
發行號3
DOIs
出版狀態Published - 2010 7月

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

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