Security enhancement of electric power systems by approximate reasoning

Takahide Niimura, Ryuichi Yokoyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    In this paper the authors present an approach to enhance the security of power systems by supplementing optimal generation scheduling solutions for less branch overload in case of contingencies. The supplementary control adjustment is determined by approximate reasoning based on qualitative rules and fuzzy sets. Fuzzy sets and reasoning procedure are defined for effective security enhancement of real power generation. Numerical examples prove that this approach efficiently yields more secure conditions against branch overload.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Fuzzy Systems
    Editors Anon
    Place of PublicationPiscataway, NJ, United States
    PublisherIEEE
    Pages205-210
    Number of pages6
    Volume1
    Publication statusPublished - 1995
    EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
    Duration: 1995 Mar 201995 Mar 24

    Other

    OtherProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
    CityYokohama, Jpn
    Period95/3/2095/3/24

    ASJC Scopus subject areas

    • Chemical Health and Safety
    • Software
    • Safety, Risk, Reliability and Quality

    Fingerprint Dive into the research topics of 'Security enhancement of electric power systems by approximate reasoning'. Together they form a unique fingerprint.

  • Cite this

    Niimura, T., & Yokoyama, R. (1995). Security enhancement of electric power systems by approximate reasoning. In Anon (Ed.), IEEE International Conference on Fuzzy Systems (Vol. 1, pp. 205-210). IEEE.