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

비지배 정렬 유전 알고리즘-II를 이용한 145 kV급 축소형 경사기능성 적용 스페이서의 유전율 분포 최적화 방법론

  • 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.)
  • 노요한 ((주)이플전기 기술연구소) ;
  • 김승현 ((주)이플전기 기술연구소) ;
  • 정종훈 ((주)이플전기 기술연구소) ;
  • 조한구 ((주)이플전기 기술연구소)
  • Received : 2019.12.01
  • Accepted : 2020.03.02
  • Published : 2020.05.01

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

References

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