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IEEE Transactions on Dielectrics and Electrical Insulation
Article . 2008 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.25916/su...
Other literature type . 2024
Data sources: Datacite
https://dx.doi.org/10.25916/su...
Other literature type . 2024
Data sources: Datacite
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An Advanced Optimal Approach for High Voltage AC Bushing Design

Authors: Hesamzadeh, Mohammad R; Hosseinzadeh, Nasser; Wolfs, Peter J;

An Advanced Optimal Approach for High Voltage AC Bushing Design

Abstract

This paper proposes a new and advanced methodology for finding the optimum electrical design of high voltage ac capacitive graded bushings using an improved genetic algorithm approach as an effective meta-heuristic method. A case study has been conducted on a 145 kV oil impregnated paper (OIP) bushing and the IEC 60137 tests have been performed to evaluate its performance. Condenser-bushings contain concentric conductive foils which are isolated from each other. The partial capacitances between conducting cylinders can be modified by adjusting the number, diameter, place and length of these cylinders as well as the thickness of insulating material between foils. As a result, the voltage drop and also the electrical stress in the core and along the surface will change. This paper finds optimal value of bushing design parameters to achieve well-distributed electric stress with the lowest possible maximum value and also a constant voltage drop for different layers by using an improved genetic algorithm optimization method subject to practical and technological constrains. The proposed method of this research work has been applied to a 145 kV OIP bushing. The performance of optimal designed 145 kV OIP bushing under IEC 60137 tests is very promising.

Keywords

dielectric breakdown, modified genetic algorithm, Insulators, 029999 Physical Sciences not elsewhere classified, 620, Modified genetic algorithm, Dielectric breakdown, insulators, IEC, High voltage techniques

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    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
bronze