Artificial Intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with Corona ring

Alipour Bonab, S. , Sadeghi, A. and Yazdani-Asrami, M. (2024) Artificial Intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with Corona ring. World Journal of Engineering, (doi: 10.1108/WJE-11-2023-0478) (Early Online Publication)

Abstract

Purpose: The ionization of the air surrounding the phase conductor in high-voltage transmission lines results in a phenomenon known as the Corona effect. To avoid this, Corona rings are used to dampen the electric field imposed on the insulator. The purpose of this study is to present a fast and intelligent surrogate model for determination of the electric field imposed on the surface of a 120 kV composite insulator, in presence of the Corona ring. Design/methodology/approach: Usually, the structural design parameters of the Corona ring are selected through an optimization procedure combined with some numerical simulations such as finite element method (FEM). These methods are slow and computationally expensive and thus, extremely reducing the speed of optimization problems. In this paper, a novel surrogate model was proposed that could calculate the maximum electric field imposed on a ceramic insulator in a 120 kV line. The surrogate model was created based on the different scenarios of height, radius and inner radius of the Corona ring, as the inputs of the model, while the maximum electric field on the body of the insulator was considered as the output. Findings: The proposed model was based on artificial intelligence techniques that have high accuracy and low computational time. Three methods were used here to develop the AI-based surrogate model, namely, Cascade forward neural network (CFNN), support vector regression and K-nearest neighbors regression. The results indicated that the CFNN has the highest accuracy among these methods with 99.81% R-squared and only 0.045468 root mean squared error while the testing time is less than 10 ms. Originality/value: To the best of the authors’ knowledge, for the first time, a surrogate method is proposed for the prediction of the maximum electric field imposed on the high voltage insulators in the presence Corona ring which is faster than any conventional finite element method.

• Item Type: Articles
• Keywords: Corona ring, electric field, finite element method, neural networks, surrogate model.
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yazdani-Asrami, Dr Mohammad and Sadeghi, Mr Alireza and Alipour Bonab, Mr Shahin
• Authors: Alipour Bonab, S., Sadeghi, A., and Yazdani-Asrami, M.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: World Journal of Engineering
• Publisher: Emerald
• ISSN: 1708-5284
• ISSN (Online): 1708-5284
• Published Online: 22 March 2024
• Copyright Holders: Copyright © 2024 Emerald Publishing Limited
• First Published: First published in World Journal of Engineering 2024
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher