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Additional info for IEEE Std 493 -2007 IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems
28 Copyright © 2007 IEEE. All rights reserved. 1 Introduction Fundamentals necessary for a quantitative reliability evaluation in electric power systems involved in planning and designing include definitions of basic terms, discussions of useful measures of system reliability and the basic data needed to compute these indexes, and a description and references of procedures for system reliability analysis including computation of quantitative reliability indexes. An important aspect of power system design involves consideration of the service reliability requirements of loads that are to be supplied and the service reliability that will be provided by any proposed system.
For reliability analysis, what is of great interest is the probability distribution of failure. These functions capture failure characteristics such as wearout failure modes, infant mortality, random, etc. 1) is the exponential distribution. This function describes a random failure mode, where the MTBF is the critical parameter. Others are the Weibull, the Lognormal, etc. 1 Probability density functions Each probability distribution has unique PDFs with the notation f(t). The area under that curve shows the relative probability of a failure occurring before time t (see Figure 2-2).
Chapter 11 provides a framework for collecting reliability data. 5 Method for system reliability evaluation There are many computer reliability methodologies available today for analyzing complex industrial and commercial power system configurations. The methods for system reliability evaluation have evolved over a number of years (Dickenson et al. [B6], Feduccia and Klion [B9], Patton et al. 2 The minimal cut-set method will be used in the analysis of various electric power distribution Copyright © 2007 IEEE.
IEEE Std 493 -2007 IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems by IEEE