Reliability evaluation of phasor measurement unit using Monte Carlo dynamic fault tree method

Peng Zhang, Ka Wing Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

64 Citations (Scopus)

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.
Original languageEnglish
Article number6151874
Pages (from-to)1235-1243
Number of pages9
JournalIEEE Transactions on Smart Grid
Volume3
Issue number3
DOIs
Publication statusPublished - 17 Feb 2012

Keywords

  • Dynamic fault tree analysis
  • Monte Carlo simulation
  • phasor measurement unit (PMU)
  • reliability evaluation
  • wide area monitoring system (WAMS)

ASJC Scopus subject areas

  • Computer Science(all)

Cite this