Title :
Reliability Modeling of PMUs Using Fuzzy Sets
Author :
Aminifar, Farrokh ; Bagheri-Shouraki, Saeed ; Fotuhi-Firuzabad, Mahmud ; Shahidehpour, Mohammad
Author_Institution :
Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
Abstract :
Probabilistic analyses of a wide-area measurement system (WAMS) would require equivalent reliability models for its components which include phasor measurement units (PMUs). In this paper, the reliability modeling of PMU is proposed and the proposed model is extended to consider options for the PMU hardware. The Markov process is employed to analyze the proposed model and to present an equivalent two-state model of PMUs. Reliability parameters of PMU are estimated with major difficulties associated with limited and uncertain data. In this paper, uncertainties are taken into account to achieve more realistic estimates of PMU characteristics. Fuzzy sets along with reliability analyses and fuzzy importance measures (FIMs) are utilized as a means of measuring the significance of PMU components on its availability. Numerical analyses are conducted and results are discussed.
Keywords :
Markov processes; fuzzy set theory; phase measurement; power system measurement; power system reliability; probability; Markov process; PMU; fuzzy importance measures; fuzzy set theory; numerical analysis; phasor measurement units; probabilistic analyses; reliability modeling; wide-area measurement system; Analytical models; Fuzzy sets; Maintenance engineering; Phasor measurement units; Power system reliability; Software reliability; Fuzzy sets; phasor measurement units; reliability modeling;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2010.2051821