IEEE Std 493 -2007 IEEE Recommended Practice for the Design by IEEE

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Extra resources for IEEE Std 493 -2007 IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems

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8 kV supply system shown in Figure 3-4 are given in Table 3-7. The data for hours of downtime per failure are based upon repair failed unit. Copyright © 2007 IEEE. All rights reserved. 8 kV utility supply— Example 2 42 Copyright © 2007 IEEE. All rights reserved. 8 kV utility supply—Failure rate and forced hours downtime per year at 480 V point of use (Example 2a), assuming a 9 min manual switchover time to utility power source No. 001850 Copyright © 2007 IEEE. All rights reserved. 8 kV utility supply— Failure rate and forced hours downtime per year at 480 V point of use (Example 2b), assuming a 5 s automatic transfer to utility power source No.

Markov models can also be solved by Monte Carlo techniques described as follows. Copyright © 2007 IEEE. All rights reserved. 2 Monte Carlo simulation Monte Carlo simulation is the most versatile modeling methodology available. The methodology can be implemented in many forms from simple models in a spreadsheet environment to complex models that are “handcrafted” in a programming language of choice. There are also a variety of simulation software packages that provide drag-anddrop environments that can automate the creation of simulated models for the casual analyst.

29 IEEE Std 493-2007 CHAPTER 3 Recent surveys on the cost of power interruptions to industrial, commercial, and institutional facilities will be summarized and presented in this chapter. The estimated cost of power interruptions to an individual facility can be factored into the decision as to which type of power distribution system to use. This approach could be used to assist in cost-reliability trade-off decisions in the design of the power distribution system. 1 System reliability indexes The basic system reliability indexes (IEEE Std 493™-1997)1 that have proven most useful and meaningful in power distribution system design are as follows: a) Frequency of load point interruptions b) Expected duration of load point interruption events These indexes can be readily computed using the methods that will be described and referenced in this chapter.

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