Optimal parameter selection of resistive SFCL applied to a power system using eigenvalue analysis

Byung Chul Sung, Jung Wook Park

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


This paper describes a study to determine the optimal parameter of a resistive superconducting fault current limiter (SFCL) applied to an electric power grid. The resistive SFCL, which is designed to provide the quick system protection during a fault, affects the entire system by reducing the fault current and improving the transient stability. In order to determine the optimal parameter of the resistive SFCL systematically, the eigenvalue analysis for an entire system is used. Generally, the eigenvalue analysis is useful to evaluate the relationship between parameter of a controller and stability of an electric power system. Therefore, the optimal parameter of the SFCL is determined based on the analysis of eigenvalues corresponding to low-frequency oscillations. Moreover, this optimal parameter obtained by the proposed method is compared with that determined by applying the equal-area criterion. The effectiveness of the optimal parameter for the SFCL is evaluated by time-domain simulation. The results show that the optimal resistive value determined by the eigenvalue analysis improves the damping performance of low-frequency oscillations effectively.

Original languageEnglish
Article number5424094
Pages (from-to)1147-1150
Number of pages4
JournalIEEE Transactions on Applied Superconductivity
Issue number3
Publication statusPublished - 2010 Jun

Bibliographical note

Funding Information:
Manuscript received October 12, 2009. First published March 04, 2010; current version published May 28, 2010. This work was supported by Manpower Development Program for Energy & Resources of MKE with Yonsei Electric Power Research Center (YEPRC) at Yonsei University, Seoul, Korea. The authors are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea (e-mail: jungpark@yonsei.ac.kr). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TASC.2010.2041333

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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