• DocumentCode
    602432
  • Title

    Electric network power quality assessment using fuzzy expert system methodology

  • Author

    Vokas, Georgios A. ; Kaminaris, S.D. ; Kontaxis, P.A. ; Rangoussi, M. ; Ioannidis, George C. ; Papathanassiou, Stavros A. ; Malatestas, P.V. ; Topalis, Frangiskos V.

  • Author_Institution
    Depts. of Electr. & Electron. Eng., Technol. Educ. Inst. (TEI) of Piraeus, Egaleo, Greece
  • fYear
    2012
  • fDate
    1-3 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this paper is to present a Fuzzy Expert System Methodology (FESM), based on the Fuzzy Logic, Expert System techniques and multicriteria decision making theory, which can be used to calculate a unique Fuzzy Total Power Quality Index (FTPQI) for every measured point of the electric network (measurements for a specific time period are used). FTPQI of the specific point includes unified and concentrated information about its PQ level and could contribute to the evaluation of examined electric network nodes providing a ranking between them in terms of PQ using the corresponding FTPQI. This tool could be used by the system administrator giving a reliable and scientific way to check the total PQ of electric networks in general and at specified points and, also, providing the possibility of ad-hoc network improvement remedies.
  • Keywords
    decision making; expert systems; fuzzy logic; fuzzy set theory; power engineering computing; power supply quality; FTPQI; PQ level; ad hoc network; electric network node; electric network power quality assessment; fuzzy expert system methodology; fuzzy logic; fuzzy total power quality index; multicriteria decision making theory; Disturbances; Events; Expert Systems; Fuzzy Logic; PQ measurements; Power Quality (PQ); multi-criteria decision making theory;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012), 8th Mediterranean Conference on
  • Conference_Location
    Cagliari
  • Electronic_ISBN
    978-1-84919-715-1
  • Type

    conf

  • DOI
    10.1049/cp.2012.2057
  • Filename
    6521899