Polluted insulator optimization using neural network combined with genetic algorithms

Doufene, D., Bouazabia, S., Ladjici, A. A. and Haddad, Abderrahmane ORCID: https://orcid.org/0000-0003-4153-6146 2017. Polluted insulator optimization using neural network combined with genetic algorithms. Presented at: 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF), Lodz, Poland, 14-16 September 2017. 2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts. IEEE, 10.1109/ISEF.2017.8090689

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Abstract

A number of investigations were undertaken to enhance the behavior of high voltage outdoor insulators by adopting numerical methods of optimization, but no work is performed to account for the presence of pollution. In this paper, a shape optimization of a high voltage insulator is achieved with the objective of reducing the tangential electric field along its polluted surface by means of numerical methods, namely neural networks and genetic algorithms.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	978-1-5386-1661-1
Last Modified:	23 Oct 2022 12:55
URI:	https://orca.cardiff.ac.uk/id/eprint/109063

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