• DocumentCode
    3398711
  • Title

    A Comprehensive Assessment on the Online Monitoring Condition for Transformer Based on the Extension Theory

  • Author

    Long, Peng ; Sheng, Gehao ; Liu, Yadong ; Lv, Ming ; Jiang, Xiuchen ; Chen, Jing ; Cui, Ronghua

  • Author_Institution
    Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The effective assessment on the operation condition of power transformer is an important means to conduct the condition maintenance for transformer and to improve the reliability of power system. Based on the amount of information of all kinds of online monitoring conditions obtained from the transformer intelligent components, the assessment model for comprehensive condition of transformer is established in this study through the introduction of extension theory. First, with respect to the disadvantage that there is considerable subjectivity in constructing judgment matrix by the traditional analytic hierarchy process (AHP), a new method is adopted to construct the judgment matrix. The orthogonal experimental design method, finite element simulation as well as AHP are adopted to determine the weighting of condition information index with scientific and objective attitude; next, the framework for comprehensive assessment of transformer condition is established with the extension-based comprehensive assessment method to achieve the qualitative and quantitative assessment on the transformer condition. The method is proved to be correct and valid through analysis of examples.
  • Keywords
    condition monitoring; decision making; finite element analysis; maintenance engineering; matrix algebra; power system reliability; power transformers; AHP; comprehensive condition; condition information index; condition maintenance; extension theory; extension-based comprehensive assessment method; finite element simulation; judgment matrix; online monitoring condition; orthogonal experimental design method; power system reliability; power transformer operation condition; traditional analytic hierarchy process; transformer intelligent components; Correlation; Indexes; Maintenance engineering; Monitoring; Oil insulation; Power system stability; Power transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307630
  • Filename
    6307630