Shape optimization of a cap and pin insulator in pollution condition using particle swarm and neural network

Doufene, D.; Bouazabia, S.; Ladjici, Ahmed Amine

doi:10.1109/icee-b.2017.8192094

Cited by 5 publications

(6 citation statements)

References 6 publications

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“…Many theories and laboratory experiments have demonstrated that the elongation of the insulator creepage distance is an effective way to increase flashover voltage, but it also increases the weight and reduces the mechanical stress endurance of the composite insulator. Therefore, recent studies have focused on insulator parameter optimization when creepage distances remain the same [29][30][31]. The simulation models proved that the flashover probability slightly increases with the insulator shank diameter and decreases with shed spacing [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface

Gao

2019

Energies

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This paper modeled the dry band formation and arcing processes on the composite insulator surface to investigate the mechanism of dry band arcing and optimize the insulator geometry. The model calculates the instantaneous electric and thermal fields before and after arc initialization by a generalized finite difference time domain (GFDTD) method. This method improves the field calculation accuracy at a high precision requirement area and reduces the computational complexity at a low precision requirement area. Heat transfer on the insulator surface is evaluated by a thermal energy balance equation to simulate a dry band formation process. Flashover experiments were conducted under contaminated conditions to verify the theoretical model. Both simulation and experiments results show that dry bands were initially formed close to high voltage (HV) and ground electrodes because the electric field and leakage current density around electrode are higher when compared to other locations along the insulator creepage distance. Three geometry factors (creepage factor, shed angle, and alternative shed ratio) were optimized when the insulator creepage distances remained the same. Fifty percent flashover voltage and average duration time from dry band generation moment to flashover were calculated to evaluate the insulator performance under contaminated conditions. This model analyzes the dry band arcing process on the insulator surface and provides detailed information for engineers in composite insulator design.

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Section: Introductionmentioning

confidence: 99%

Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface

Gao

2019

Energies

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“…Comparing the obtained results with [23,24], where the objective function (the electric field at the pin region) is predicted using Artificial Neural Networks, big similarity in the obtained shape after optimization is noticed.…”

Section: Discussionmentioning

confidence: 87%

“…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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“…As reported in the literature [3,6,[23][24][25][26][27][28], all optimisation techniques for design improvement of high voltage insulators share the objective of reducing the electric field on the insulating surface.…”

Section: Introductionmentioning

confidence: 99%

“…In [26,27], a contour optimisation of a cap-and-pin insulator is achieved using genetic algorithm (GA) and a particles swarm optimisation (PSO) algorithm, respectively, in the presence of pollution on the upper surface of the insulator. An ANN was used as the prediction function of the electric field on the insulating surface to be optimised by the GA and the PSO, respectively.…”

Section: Introductionmentioning

confidence: 99%

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

Doufene

Bouazabia

Haddad³

2020

IET Science, Measurement & Technology

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Shape optimization of a cap and pin insulator in pollution condition using particle swarm and neural network

Cited by 5 publications

References 6 publications

Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface

Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface

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

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

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