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 superconducting magnetic energy storage (SMES) 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 the reduction of the SMES capacity. The first countermeasure involves modification of rule 1 for smoothing out the average electric power to its average values. 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 the reduction of the SMES capacity. The SMES capacity in the proposed smoothing control method is reduced by 49.5% compared to that in the nonrevised control method. Computer simulations confirm 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)35-43
Number of pages9
JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
Volume179
Issue number2
DOIs
Publication statusPublished - Apr 30 2012
Externally publishedYes

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Energy storage
Membership functions
Power control
Computer simulation

Keywords

  • fuzzy reasoning
  • railway substation
  • reduction of SMES capacity
  • smoothing control of power fluctuation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

A fuzzy-based control method for smoothing power fluctuations in substations along high-speed railways. / Sugio, Tetsuya; Yamamoto, Masayoshi; Funabiki, Shigeyuki.

In: Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi), Vol. 179, No. 2, 30.04.2012, p. 35-43.

Research output: Contribution to journalArticle

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