• DocumentCode
    1451035
  • Title

    Reliability Analysis of Phasor Measurement Unit Considering Data Uncertainty

  • Author

    Yang Wang ; Wenyuan Li ; Peng Zhang ; Bing Wang ; Jiping Lu

  • Author_Institution
    State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
  • Volume
    27
  • Issue
    3
  • fYear
    2012
  • Firstpage
    1503
  • Lastpage
    1510
  • Abstract
    This paper proposes a combined statistical and fuzzy Markov method for reliability evaluation of phasor measurement unit (PMU). The major purpose is to deal with uncertainties of reliability data in PMU. The membership functions of reliability parameters can be built based on statistics and fuzzy set theory. The fuzzy hierarchical Markov models are presented to quantify membership functions of multiple reliability indices of the entire PMU. A fuzzy sensitivity analysis index is developed to estimate the effects of parameter uncertainties on the uncertainty of PMU reliability and identify the most sensitive component(s). Numerical results are provided to demonstrate the effectiveness of the proposed techniques.
  • Keywords
    Markov processes; fuzzy set theory; phasor measurement; power system reliability; sensitivity analysis; PMU; data uncertainty; fuzzy hierarchical Markov models; fuzzy sensitivity analysis index; fuzzy set theory; membership functions; multiple reliability indices; parameter uncertainties; phasor measurement unit; statistical method; Global Positioning System; Maintenance engineering; Markov processes; Phasor measurement units; Power system reliability; Reliability; Uncertainty; Data uncertainty; Markov model; fuzzy reliability; phasor measurement unit;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2183901
  • Filename
    6153413