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Repulsive firefly algorithm-based optimal switching device placement in power distribution systems

Yuanpeng Tan Hai Chen Wei Liu Mingze Zhang Yinong Li Xincong Li Hanyang Lin

全球能源互联网(英文)2019,Vol.2Issue(6):490-496,7.
全球能源互联网(英文)2019,Vol.2Issue(6):490-496,7.DOI:10.14171/j.2096-5117.gei.2019.06.002

Repulsive firefly algorithm-based optimal switching device placement in power distribution systems

Repulsive firefly algorithm-based optimal switching device placement in power distribution systems

Yuanpeng Tan 1Hai Chen 2Wei Liu 1Mingze Zhang 1Yinong Li 3Xincong Li 3Hanyang Lin3

作者信息

  • 1. Beijing Key Laboratory of Distribution Transformer Energy-Saving Tech., China Electric Power Research Institute, Beijing 102206, P.R.China
  • 2. Artificial Intelligence Application Department, China Electric Power Research Institute, Beijing 102206, P.R.China
  • 3. State Grid Shanghai Municipal Electric Power Company, Shanghai 200333, P.R.China
  • 折叠

摘要

关键词

Power distribution systems/Switching device/Repulsive firefly algorithm/Optimal placement/Reliability

Key words

Power distribution systems/Switching device/Repulsive firefly algorithm/Optimal placement/Reliability

引用本文复制引用

Yuanpeng Tan,Hai Chen,Wei Liu,Mingze Zhang,Yinong Li,Xincong Li,Hanyang Lin..Repulsive firefly algorithm-based optimal switching device placement in power distribution systems[J].全球能源互联网(英文),2019,2(6):490-496,7.

基金项目

This work was supported by the State Grid Science and Technology Project "Research on Technology System and Applications Scenarios of Artificial Intelligence in Power System" (No.SGZJ0000KXJS1800435) (No.SGZJ0000KXJS1800435)

Key Technology Project of State Grid Shanghai Municipal Electric Power Company "Research and demonstration of Shanghai power grid reliability analysis platform" ()

Key Technology Project of China Electric Power Research Institute "Research on setting calculation technology of power grid phase protection based on Artificial Intelligence" (JB83-19-007). (JB83-19-007)

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