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
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