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

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.

[1]  Subhransu Ranjan Samantaray,et al.  Ensemble decision trees for phasor measurement unit-based wide-area security assessment in the operations time frame , 2010 .

[2]  John D. Musa,et al.  Software reliability - measurement, prediction, application , 1987, McGraw-Hill series in software engineering and technology.

[3]  R. Billinton,et al.  Monte Carlo simulation model for multiarea generation system reliability studies , 1993 .

[4]  Yang Wang,et al.  Reliability Analysis of Phasor Measurement Unit Using Hierarchical Markov Modeling , 2009 .

[5]  A.G. Phadke,et al.  The Wide World of Wide-area Measurement , 2008, IEEE Power and Energy Magazine.

[6]  Zeng-Ping Wang,et al.  Reliability Evaluation of the Communication Network in Wide-Area Protection , 2011, IEEE Transactions on Power Delivery.

[7]  J. J. O'Reilly,et al.  A framework for the availability assessment of SDH transport networks , 1997, Proceedings Second IEEE Symposium on Computer and Communications.

[8]  Yansong Ren,et al.  Design of reliable systems using static and dynamic fault trees , 1998 .

[9]  P. Vassiliou,et al.  Reliability importance of components in a complex system , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.

[10]  Jean-Jacques Lesage,et al.  Probabilistic Algebraic Analysis of Fault Trees With Priority Dynamic Gates and Repeated Events , 2010, IEEE Transactions on Reliability.

[11]  Yang Wang,et al.  Reliability Analysis of Wide-Area Measurement System , 2010, IEEE Transactions on Power Delivery.

[12]  R. Y. Rubinstein,et al.  A fast Monte Carlo method for evaluating reliability indexes , 1999 .

[13]  Rui Xu,et al.  Research on reliability modeling of complex system based on dynamic fault tree , 2009 .

[14]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[15]  Christian Rehtanz,et al.  Design Aspects for Wide-Area Monitoring and Control Systems , 2005, Proceedings of the IEEE.

[16]  Lalit Goel,et al.  Monte Carlo simulation based reliability evaluation in a multi-bilateral contracts market , 2004 .

[17]  I. Shuto,et al.  Field experience and assessment of GPS signal receiving and distribution system for synchronizing power system protection, control and monitoring , 2006, 2006 IEEE Power India Conference.

[18]  Wang Gang,et al.  Reliability analysis of digital relay , 2004 .

[19]  R. Billinton,et al.  An Efficient Algorithm for Deducing the Minimal Cuts and Reliability Indices of a General Network Configuration , 1976, IEEE Transactions on Reliability.

[20]  John A. Buzacott.  Network Approaches to Finding the Reliability of Repairable Systems , 1970 .

[21]  Joanne Bechta Dugan.  Design of Reliable Systems Using Static & Dynamic Fault , 1998 .

[22]  Daniel Karlsson,et al.  Wide-Area Protection and Power System Utilization , 2005, Proceedings of the IEEE.

[23]  Zhong Shan.  Development of High Quality Backup Clock for Synchronized Phasor Measurement Unit , 2006 .

[24]  Patrik Hilber,et al.  A Method for Extracting Reliability Importance Indices from Reliability Simulations of Electrical Networks , 2005 .

[25]  Farrokh Aminifar,et al.  Reliability Modeling of PMUs Using Fuzzy Sets , 2010, IEEE Transactions on Power Delivery.