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Electrical Engineering
Erschienen in: Electrical Engineering 2/2022

06.06.2021 | Original Paper

Particle swarm optimization for design of insulators of distribution power system based on finite element method

verfasst von: Stéfano Frizzo Stefenon, Clodoaldo Schutel Furtado Neto, Thiago Spindola Coelho, Ademir Nied, Cristina Keiko Yamaguchi, Kin-Choong Yow

Erschienen in: Electrical Engineering | Ausgabe 2/2022

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Abstract

Reliability in the supply of electricity depends on isolation from the electrical power system. Insulators are components that have the function of insulating and supporting the electrical grid. The design of electrical distribution network insulators can have a great influence on the distribution of the electric field over its surface. When there is a great intensity of electric field applied specifically in a location, there may be a greater chance of the development of a fault. An optimized insulator profile design can ensure that the network has better performance. In this paper, particle swarm optimization is applied to optimize the profile of an insulator of the conventional electric power grid, based on the electrical potential data obtained using the finite element method, defined in this paper as optimized finite element method. The component parameters are optimized to obtain a parametric model. The parametric model is evaluated and compared with the usually employed profiles to define an optimized design. The results show that the proposed method is a promising alternative for the design of electrical energy distribution insulators.
Vorheriger Artikel A fault diagnosis method of double-layer LSTM for 10 kV single-core cable based on multiple observable electrical quantities
Nächster Artikel Analysis and performance evaluation of a three-phase sparse neutral point clamped converter for industrial variable speed drives

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Metadaten
Titel
Particle swarm optimization for design of insulators of distribution power system based on finite element method
verfasst von
Stéfano Frizzo Stefenon
Clodoaldo Schutel Furtado Neto
Thiago Spindola Coelho
Ademir Nied
Cristina Keiko Yamaguchi
Kin-Choong Yow
Publikationsdatum
06.06.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 2/2022
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-021-01332-3

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