A fuzzy-based control method for smoothing power fluctuations in substations along high-speed railways

Tetsuya Sugio, Masayoshi Yamamoto, Shigeyuki Funabiki

Research output: Contribution to journalArticle

Abstract

The use of an SMES (Superconducting Magnetic Energy Storage) for smoothing power fluctuations in a railway substation has been discussed. This paper proposes a smoothing control method based on fuzzy reasoning for reducing the SMES capacity at substations along high-speed railways. The proposed smoothing control method comprises three countermeasures for reduction of the SMES capacity. The first countermeasure involves modification of rule 1 for smoothing out the fluctuating electric power to its average value. The other countermeasures involve the modification of the central value of the stored energy control in the SMES and revision of the membership function in rule 2 for reduction of the SMES capacity. The SMES capacity in the proposed smoothing control method is reduced by 49.5% when compared to that in the nonrevised control method. It is confirmed by computer simulations that the proposed control method is suitable for smoothing out power fluctuations in substations along high-speed railways and for reducing the SMES capacity.

Original languageEnglish
Pages (from-to)207-213+13
Journalieej transactions on industry applications
Volume129
Issue number2
DOIs
Publication statusPublished - Dec 28 2009
Externally publishedYes

Keywords

  • Fuzzy reasoning
  • Railway substation
  • Reduction of SMES capacity
  • Smoothing control of power fluctuation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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