• DocumentCode
    1774616
  • Title

    Cloud model based power quality comprehensive assessment interactive decision-making approach

  • Author

    Bo Zhang ; Wenyang Xu ; Gengyin Li ; Ming Zhou

  • Author_Institution
    State Grid Henan Electr. Power Res. Inst., North China Electr. Power Univ., Baoding, China
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    1338
  • Lastpage
    1341
  • Abstract
    In this paper, standard normal cloud model is adopted to deal with the randomness and fuzziness of power quality comprehensive assessment indicators, through quantifying qualitative indicators. Taking both the subjective and objective factors into consideration, the improved multi-level interactive decision-making mode is chosen to detemine the weights of different indexes, cosidering the two-way interaction between power supplier and electrical consumers. In this way, cloud model based power quality comprehensive assessment interactive decision-making approach has been established. Through the approach, the correlations between assessment points and cloud model are calculated. The credibility of assessment is defined to make the approach not only a way to express the results, but also a method to evaluate the accuracy, in this paper, the results of one typical case show the effectiveness and superiority of the proposed approach.
  • Keywords
    cloud computing; decision making; electricity supply industry; power supply quality; assessment credibility; cloud model; electrical consumer; multilevel interactive decision-making approach; power quality comprehensive assessrnent; power supplier; quantifying qualitative indicator; Abstracts; Accuracy; Electricity; Entropy; Mathematical model; Power quality; Reliability; Cloud model; Comprehensive assessment; Multi-level interactive decision-making mode; Power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2014 China International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICED.2014.6991924
  • Filename
    6991924