Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms

Today, composite insulators are used in high-voltage power transmission lines, especially in polluted and humid areas. One of the parameters affecting the aging of composite insulators is the control of the Electric Field Intensity (EFI) distribution on the creepage distance of the insulator. Design...

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Main Authors: Mostafa Khajavi, Sajad Bagheri, Asaad Shemshadi
Format: Article
Language:fas
Published: Semnan University 2024-08-01
Series:مجله مدل سازی در مهندسی
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Online Access:https://modelling.semnan.ac.ir/article_8380_d89449987c33c4871fd130809546fa56.pdf
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author Mostafa Khajavi
Sajad Bagheri
Asaad Shemshadi
author_facet Mostafa Khajavi
Sajad Bagheri
Asaad Shemshadi
author_sort Mostafa Khajavi
collection DOAJ
description Today, composite insulators are used in high-voltage power transmission lines, especially in polluted and humid areas. One of the parameters affecting the aging of composite insulators is the control of the Electric Field Intensity (EFI) distribution on the creepage distance of the insulator. Designing corona ring is considered as one of the important factors in reducing EFI. In this paper, the changes in the EFI on the creepage distance of the 230 kV composite insulator have been investigated and calculated with and without considering the effects of the corona ring, tower structure, conductor, hardware, and mutual phases using the Finite Element Method (FEM) and in three dimensions in software COMSOL. Then, the appropriate objective function was defined to minimize the maximum EFI on the creepage distance of the composite insulator. Finally, Monte Carlo and coordinate search algorithms were used for the optimum design of the corona ring parameters of the composite insulator, including the diameter, thickness, and Installation position of the corona ring in the high voltage potential part, and compared with other non-gradient-based methods. The simulation results showed that the design and calculation of the optimal parameters of the corona ring using Monte Carlo and coordinate search algorithms reduced the maximum EFI on the creepage distance of the composite insulator by 78% compared to the case without the corona ring, which is the innovation of this paper to other published works..
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series مجله مدل سازی در مهندسی
spelling doaj-art-ffb3b4f25dc843ebb5e3077c735978752025-01-15T08:15:49ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382024-08-01227718920610.22075/jme.2023.32057.25438380Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente AlgorithmsMostafa Khajavi0Sajad Bagheri1Asaad Shemshadi2PhD Student, Department of Electrical Engineering, Arak Branch, Islamic Azad University, Arak, IranAssistant professor, Department of Electrical Engineering, Arak Branch, Islamic Azad University, Arak, IranAssistant professor, Electrical Engineering Department, Arak University of Technology, Arak, IranToday, composite insulators are used in high-voltage power transmission lines, especially in polluted and humid areas. One of the parameters affecting the aging of composite insulators is the control of the Electric Field Intensity (EFI) distribution on the creepage distance of the insulator. Designing corona ring is considered as one of the important factors in reducing EFI. In this paper, the changes in the EFI on the creepage distance of the 230 kV composite insulator have been investigated and calculated with and without considering the effects of the corona ring, tower structure, conductor, hardware, and mutual phases using the Finite Element Method (FEM) and in three dimensions in software COMSOL. Then, the appropriate objective function was defined to minimize the maximum EFI on the creepage distance of the composite insulator. Finally, Monte Carlo and coordinate search algorithms were used for the optimum design of the corona ring parameters of the composite insulator, including the diameter, thickness, and Installation position of the corona ring in the high voltage potential part, and compared with other non-gradient-based methods. The simulation results showed that the design and calculation of the optimal parameters of the corona ring using Monte Carlo and coordinate search algorithms reduced the maximum EFI on the creepage distance of the composite insulator by 78% compared to the case without the corona ring, which is the innovation of this paper to other published works..https://modelling.semnan.ac.ir/article_8380_d89449987c33c4871fd130809546fa56.pdfcomposite insulatorcorona ringfemmutual phasesmonte carlocoordinate search
spellingShingle Mostafa Khajavi
Sajad Bagheri
Asaad Shemshadi
Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms
مجله مدل سازی در مهندسی
composite insulator
corona ring
fem
mutual phases
monte carlo
coordinate search
title Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms
title_full Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms
title_fullStr Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms
title_full_unstemmed Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms
title_short Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms
title_sort optimum design of corona ring of composite insulators considering the effect of mutual phases by monte carlo and coordinate search intelligente algorithms
topic composite insulator
corona ring
fem
mutual phases
monte carlo
coordinate search
url https://modelling.semnan.ac.ir/article_8380_d89449987c33c4871fd130809546fa56.pdf
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