A Design Methodology for the Optimization of Three-Phase SFCL of Saturated Cores Type

Nuno Vilhena, Joao Murta Pina, Anabela Goncalves Pronto, Alfredo Alvarez

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Superconducting fault current limiters (SFCL) have already demonstrated their viability in electric power grids. The growth in distributed generation sources and an increased interconnec-tion of networks tend to increase the complexity of electric pow-er grids, rising the number of failures, especially short-circuits. To disseminate these technologies, the development of straight-forward design tools is required. These tools must consider the properties of the available constitutive elements of the devices. A design methodology that allows modelling and optimizing sat-urated cores SFCL is presented in this paper. This methodology considers the characteristics of each constitutive element of the limiter while addressing utility requirements and power grid characteristics. Genetic algorithms are used both to optimize the constitutive elements of the limiter and its performance in the power grid. In order to validate the present methodology, a three-phase SFCL is designed, optimized and simulated.

Original languageEnglish
Article number5601505
JournalIEEE Transactions on Applied Superconductivity
Volume28
Issue number4
DOIs
Publication statusAccepted/In press - 13 Feb 2018

Keywords

  • Genetic algorithms
  • genetic algorithms
  • Magnetic cores
  • Magnetic flux
  • Mathematical model
  • multiobjective optimization
  • Optimization
  • optimization
  • Power grids
  • Saturated cores fault current limiter
  • Saturation magnetization

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