Shape and electric performance improvement of an insulator string using particles swarm algorithm

Doufene, D.; Bouazabia, S.; Haddad, A.

doi:10.1049/iet-smt.2019.0405

Cited by 11 publications

(4 citation statements)

References 29 publications

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“…From Figures 3-8, which provide the potential and electric field maps in both 2D and 3D representations, as well as their distribution along the creepage distance of the studied samples (one element and four elements chain), it is evident that the metal connection parts (cap and pin regions) are the critical zones where the electric field values reach the highest level. This finding is strongly supported by several studies that consider other types and profiles of high-voltage insulators (Kalaiselvi et al, 2018;Doufene et al, 2017bDoufene et al, , 2017aDoufene et al, , 2019Doufene et al, , 2020Doufene et al, , 2022Doufene et al, , 2023.…”

Section: Detection Of the Critical Zonessupporting

confidence: 76%

A new approach for the flashover voltage prediction using an arc propagation reproduction on a high-voltage insulator

Doufene,

Benharat,

Essmine

et al. 2024

COMPEL

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Purpose This paper aims to introduce a new numerical model that predicts the flashover voltage (FOV) value in the presence of polluted air surrounding a high-voltage insulator. The model focuses on simulating the propagation of arcs and aims to improve the accuracy and reliability of FOV predictions under these specific conditions. Design/methodology/approach This arc propagation method connecting the high voltage fitting and the grounded insulator cap involves a two-step process. First, the electric field distribution in the vicinity of the insulator is obtained using finite element method analysis software. Subsequently, critical areas with intense electric field strength are identified. Random points within these critical areas are then selected as initial points for simulating the growth of electric arcs. Findings by increasing the electric voltage applied to the insulator fittings, the arc path is, step by step, generated until a breakdown occurs on the polluted air surrounding the insulator surface, and thus a prediction of the FOV value. Practical implications The proposed model for the FOV prediction can be a very interesting alternative to dangerous and costly experimental tests requiring an investment in time and materials. Originality/value Some works were done trying to reproduce discharge propagation but it was always with simplified models such as propagation in one direction from a point to a plane. The difficulty and the originality of the present work is the geometry complexity of the insulator with arc propagation in three distinct directions that will require several proliferation conditions.

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Section: Detection Of the Critical Zonessupporting

confidence: 76%

A new approach for the flashover voltage prediction using an arc propagation reproduction on a high-voltage insulator

Doufene,

Benharat,

Essmine

et al. 2024

COMPEL

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“…This work is focused on the optimization of HV insulators in the presence of pollution, which is the most important contribution made in this work given the absence of work in this axis of study. Indeed, all works done are carried out in the clean case [1]- [10]. The only work done in the presence of pollution by Doufene et al [11] with a coupled artificial neural network (ANN)-genetic algorithms (GA) and In [11] using a coupled ANN-(PSO uses a predicted function of the electric field by mean of the ANN.…”

Section: Introductionmentioning

confidence: 99%

3d Electric Field Computation of Optimised High-Voltage Insulator Using Pso-Fem Coupled Algorithm, 1-6.

Doufene,

Bouazabia,

Bessedik

2023

International Journal of Power and Energy Systems

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The purpose of this study is to estimate 3D electric field distribution on a polluted suspension insulator surface using finite element method (FEM) combined with a metaheuristic method namely a particle swarm optimization (PSO) algorithm. The PSO is applied to reshape an insulator form that presents a better electrical performance and thus reduce the electric field at the pin region. In the presence of pollution, this region is proved to be the most critical area for discharge initiation and propagation. The study of the electric field repartition on optimized high-voltage (HV) insulators under polluted conditions plays an important role in enhancing the performance and reliability of HV insulators. For this purpose, the electric field is calculated in both dry clean and contaminated surface conditions using FEM. Afterwards, the PSO algorithm is proposed as an efficient approach for optimizing the insulator geometry. Each stage of the work will be studied in both clean and polluted situations. From the achieved results, we see that the hybrid algorithm (PSO-FEM) gives great aptitudes for enhancing the distribution of the electric field on the HV insulators. The proposed PSO-FEM algorithm could be very helpful tool for designing HV insulator profiles that provide enhanced performances.

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“…Designing an improved shape of the insulator string involves taking into account many constraints, such as electrical, mechanical, environmental and economic, so using simulations prior to real testing and manufacturing is money and time saving. Recent works carried out concerning the improvement of the high voltage insulators performance based on optimization methods, are divided into two main categories: (i) optimizing the shape of the chain elements [14][15][16][17][18][19][20][21][22][23] and (ii) grading ring optimization [24][25]. This research aims to study a hybrid algorithm based on the Grey Wolf Optimization and the Finite Element Method (GWO-FEM) for designing an insulator sting and enhancing its electrical and geometrical performance.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Grey Wolf and Finite Element Method (GWO-FEM) Algorithm for Enhancing High Voltage Insulator String Performance in Wet Pollution Conditions

Doufene

Benharat

Bouazabia

et al. 2022

Eng. Technol. Appl. Sci. Res.

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The presence of wet pollution on the upper surface of a string insulator increases the electric field on the insulator surface, especially at the triple junction (pin-cement, cement-porcelain) as well as at the surrounding air of the insulator. The rise of the electric field leads to the ionization of the air surrounding the insulator. This phenomenon, called corona discharge, is accompanied by several consequences that are harmful to the electricity transmission network, such as electromagnetic interferences, energy losses, visible light, audible noise, and the destruction of materials by erosion. If favorable conditions are gathered, it may even cause the flashover of the insulator. Designing an optimal insulator shape that reduces this electric field value at the triple junction will be an important achievement in enhancing the performance of electrical grids. The objective of this paper is to evolve a hybrid algorithm based on the GWO-FEM for optimizing the shape and the electrical performance of a string insulator. To achieve this purpose, this work is structured in four parts. First, modeling of the insulator string geometry is conducted in Comsol-multiphysics, then FEM computation of the electric field on the polluted surface of the string insulator is completed, and the maximum electric field value at the triple junction is saved as the fitness function that will be sent to the GWO algorithm to be optimized (minimized). The third part of the work is devoted to the coding of the constrained (electrical and geometrical constraints) GWO algorithm in a Matlab interface, and finally, coupling the GWO code with the FEM code. This study is achieved in wet polluted conditions. The results are given in both 2D and 3D representations. From the obtained results we can confirm that the developed GWO-FEM hybrid algorithm for optimizing insulator strings is a very promising tool for designing and enhancing the shape and the electrical performance of insulators.

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Shape and electric performance improvement of an insulator string using particles swarm algorithm

Cited by 11 publications

References 29 publications

A new approach for the flashover voltage prediction using an arc propagation reproduction on a high-voltage insulator

A new approach for the flashover voltage prediction using an arc propagation reproduction on a high-voltage insulator

3d Electric Field Computation of Optimised High-Voltage Insulator Using Pso-Fem Coupled Algorithm, 1-6.

Hybrid Grey Wolf and Finite Element Method (GWO-FEM) Algorithm for Enhancing High Voltage Insulator String Performance in Wet Pollution Conditions

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