Analysis of energy dissipation in resistive superconducting fault-current limiters for optimal power system performance

Steven Macpherson Blair, Campbell Booth, Nand Singh, Graeme Burt, C.G. Bright

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
382 Downloads (Pure)

Abstract

Fault levels in electrical distribution systems are rising due to the increasing presence of distributed generation, and this rising trend is expected to continue in the future. Superconducting fault-current limiters (SFCLs) are a promising solution to this problem. This paper describes the factors that govern the selection of optimal SFCL resistance. The total energy dissipated in an SFCL during a fault is particularly important for estimating the recovery time of the SFCL; the recovery time affects the design, planning, and operation of electrical systems using SFCLs to manage fault levels. Generic equations for energy dissipation are established in terms of fault duration, SFCL resistance, source impedance, source voltage, and fault inception angles. Furthermore, using an analysis that is independent of superconductor material, it is shown that the minimum required volume of superconductors linearly varies with SFCL resistance but, for a given level of fault-current limitation and power rating, is independent of system voltage and superconductor resistivity. Hence, there is a compromise between a shorter recovery time, which is desirable, and the cost of the volume of superconducting material needed for the resistance required to achieve the shorter recovery time.

Original languageEnglish
Pages (from-to)3452 - 3457
Number of pages6
JournalIEEE Transactions on Applied Superconductivity
Volume21
Issue number4
Early online date10 May 2011
DOIs
Publication statusPublished - Aug 2011

Keywords

  • energy dissipation
  • superconductors
  • superconductivity
  • fault analysis

Fingerprint

Dive into the research topics of 'Analysis of energy dissipation in resistive superconducting fault-current limiters for optimal power system performance'. Together they form a unique fingerprint.

Cite this