• DocumentCode
    2872233
  • Title

    An interval probability maximum hybrid entropy assessment method of equipment sensitivity due to voltage sag

  • Author

    Wang, Ying ; Xu, Wei ; Yu, Xinghuo ; Xiao, Xianyong

  • Author_Institution
    Coll. of Electr. Eng. & Inf. Technol, Sichuan Univ., Chengdu, China
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    825
  • Lastpage
    830
  • Abstract
    There are complicated or mixed uncertain properties in the evaluation of equipment sensitivity to voltage sags thereby making it difficult to use the point-value based assessment method to evaluate the impact of voltage sags on sensitive equipment, especially in the case of a small sample size. Considering the multi-valued nature of the equipment operation status during voltage sag, the voltage tolerance level of sensitive equipment is characterized by an interval numeral. After the interval probability of the abnormal operation status is obtained, the concept of hybrid entropy is introduced to measure the complicated uncertainty of the equipment voltage tolerance referring randomness and fuzziness. A novel method based on the maximum hybrid entropy principle is used to obtain the point-value of equipment failure probability. The proposed method is demonstrated on personal computers (PCs) and adjustable speed drives (ASDs) and the simulation results show that the proposed method is correct and adaptive.
  • Keywords
    maximum entropy methods; power supply quality; adjustable speed drives; equipment sensitivity; interval probability maximum hybrid entropy assessment method; uncertain properties; voltage sag; Entropy; Power quality; Random variables; Sensitivity; Uncertainty; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119417
  • Filename
    6119417