• DocumentCode
    1447953
  • Title

    Reliability Evaluation of Phasor Measurement Unit Using Monte Carlo Dynamic Fault Tree Method

  • Author

    Zhang, Peng ; Chan, Ka Wing

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • Volume
    3
  • Issue
    3
  • fYear
    2012
  • Firstpage
    1235
  • Lastpage
    1243
  • Abstract
    Reliability evaluation of phasor measurement unit (PMU) is a primary key element in the reliability evaluation of wide-area monitoring system (WAMS). In this paper, a comprehensive reliability evaluation method based on Monte Carlo dynamic fault tree (MCDFT) analysis is proposed to conduct the reliability evaluation on PMU. The reliability model of PMU is constructed using dynamic fault tree modeling and analyzed using Monte Carlo simulation to evaluate the reliability indices of PMU. The validity and advantages of the proposed MCDFT reliability evaluation of PMU were verified with simulation and comparison studies. Importance analysis showed that basic components in the GPS receiver and CPU hardware modules have high impacts on the reliability of PMU. Sensitivity and redundancy design analysis are then applied to conclude that the redundancy design of GPS receiver and CPU hardware would be the best measure for improving the reliability of PMU. Finally, a self-adaptive wide-area damping control scheme is taken as an example for the application of PMU reliability.
  • Keywords
    Monte Carlo methods; fault trees; phasor measurement; power system reliability; redundancy; sensitivity analysis; CPU hardware modules; GPS receiver redundancy design; MCDFT reliability evaluation analysis; Monte Carlo dynamic fault tree method; Monte Carlo simulation; PMU reliability indices; WAMS; comprehensive reliability evaluation method; phasor measurement unit; redundancy design analysis; self-adaptive wide-area damping control scheme; sensitivity analysis; wide-area monitoring system; Discrete Fourier transforms; Global Positioning System; Logic gates; Monte Carlo methods; Phasor measurement units; Power system reliability; Reliability; Dynamic fault tree analysis; Monte Carlo simulation; phasor measurement unit (PMU); reliability evaluation; wide area monitoring system (WAMS);
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2180937
  • Filename
    6151874