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 language | English |
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Article number | 5601505 |
Journal | IEEE Transactions on Applied Superconductivity |
Volume | 28 |
Issue number | 4 |
DOIs | |
Publication status | Published - Jun 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