• DocumentCode
    1692897
  • Title

    Fuzzy synthetic evaluation of power quality based on Deviation Function and Joint-Entropy

  • Author

    Li Zhengming ; Qin JianRong ; Pan Tianhong

  • Author_Institution
    Sch. of Electr. & Inf., Jiangsu Univ., Zhenjiang, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    436
  • Lastpage
    439
  • Abstract
    To obtain a more objective and scientific result of power quality (PQ) fuzzy synthetic evaluation, this paper presents a combined weighing method based on Deviation Function and Joint-Entropy to determine weights of PQ indices in which the whole-warp between the ideal combination of the estimated weight vectors and the combination determined by other methods became minimal and the overall situation was the least in this method. Thus, the optimization model about the weight vectors combination was constructed. An example is also given to demonstrate the precision, reliability and validity of the method.
  • Keywords
    fuzzy set theory; optimisation; power supply quality; PQ indices; combined weighing method; deviation function; fuzzy synthetic evaluation; joint entropy; optimization model; power quality; weight vector combination; weight vector estimation; Entropy; Indexes; Optimization; Power quality; Random variables; Vectors; combined weights; deviation; joint-entropy; power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180366
  • Filename
    6180366