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http://dx.doi.org/10.4313/JKEM.2020.33.3.225

Methodology for Optimizing Permittivity Distribution of 145 kV Miniaturized Functional Graded Spacer Using Non-Dominated Sorting Genetic Algorithm-II  

Noh, Yo-Han (Institute of Research and Development, EPLUS Electric Co., Ltd.)
Kim, Seung-Hyun (Institute of Research and Development, EPLUS Electric Co., Ltd.)
Cheong, Jong-Hun (Institute of Research and Development, EPLUS Electric Co., Ltd.)
Cho, Han-Goo (Institute of Research and Development, EPLUS Electric Co., Ltd.)
Publication Information
Journal of the Korean Institute of Electrical and Electronic Material Engineers / v.33, no.3, 2020 , pp. 225-230 More about this Journal
Abstract
Recently, with the miniaturization of GIS, there is a need for the miniaturization of spacers as accessories. Miniaturized spacers make it difficult to secure adequate insulation distances, resulting in a more concentrated electric field at the triple junction of high-voltage (HV) conductor-insulator (spacer)-insulation gas (SF6), which is a weakness in GIS. Therefore, by introducing a new concept design technology, functionally graded material (FGM), which is recently applied to various materials and parts industries, three-dimensional control of the dielectric constant distribution in a spacer can be expected to alleviate triple-junction electric field occupancy and improve insulation performance. In this study, we propose an optimized model using NSGA-II to optimize the permittivity distribution of FGM applied spacer.
Keywords
GIS; Spacer; FGM (functional graded material); Electric field relaxation; NSGA-II; Optimization;
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