• DocumentCode
    452865
  • Title

    Imporvement of New Synthetic Power Quality Indexes: an Original Approach to Their Validation

  • Author

    Capua, Claudio De ; Falco, Stefano De ; Liccardo, Annalisa ; Romeo, Emilia

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Technol., Univ. "Mediterranea" of Reggio Calabria
  • Volume
    2
  • fYear
    2005
  • fDate
    16-19 May 2005
  • Firstpage
    819
  • Lastpage
    822
  • Abstract
    In the paper the authors propose the improvement of three new power quality indexes presented in a previous work (De Capua, 2004) for exhaustively detecting voltage sags. In fact, during the indices´ experimental assessment, some weak points of the previous presented indices have arisen. After indices´ correction, ANOVA analysis have been performed, in order to investigate indices´ sensibility with regards to sag depth and duration. At this aim a full experimental analysis has been conducted by applying a multilevel multivariable experiment. Through ANOVA analysis, moreover, a cost function has been realized to correlate the indexes values to the effective cost of lost quality for users who need the absolute absence of sag occurrence. Subsequently the indices´ uncertainty has been estimated; a random-fuzzy technique has been preferred, since the ISO guide shows its limits in presence of DSP-based algorithms
  • Keywords
    fuzzy systems; measurement uncertainty; power meters; power supply quality; power system measurement; random processes; ANOVA analysis; DSP-based algorithms; ISO guide; random-fuzzy technique; sag depth; sag duration; synthetic power quality indexes; voltage sag detection; Power quality; Power Quality indexes; Power Quality meter; sags detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-7803-8879-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2005.1604247
  • Filename
    1604247