IEEE - Institute of Electrical and Electronics Engineers, Inc. - 3006.5-2014

IEEE Recommended Practice for the Use of Probability Methods for Conducting a Reliability Analysis ofIndustrial and Commercial Power Systems

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Organization: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 17 February 2015
Status: active
Page(s): 1 - 50
ICS Code (Electricity supply systems): 91.140.50
ICS Code (Power transmission and distribution networks in general): 29.240.01
ISBN (Online): 978-0-7381-9471-4
DOI: 10.1109/IEEESTD.2015.7034995
Regular:

Described in this recommended practice are ways for using probability methods to conduct a reliability analysis of industrial and commercial power systems. It is likely to be of greatest value to... View More

Standard:

Described in this recommended practice are ways for using probability methods to conduct a reliability analysis of industrial and commercial power systems. It is likely to be of greatest value to... View More

Document History

3006.5-2014
February 17, 2015
IEEE Recommended Practice for the Use of Probability Methods for Conducting a Reliability Analysis ofIndustrial and Commercial Power Systems
Described in this recommended practice are ways for using probability methods to conduct a reliability analysis of industrial and commercial power systems. It is likely to be of greatest value to the...
P3006.5/D1, Oct 2012
October 2, 2014
IEEE Draft Recommended Practice for the Use of Probability Methods for Conducting a Reliability Analysis of Industrial and Commercial Power Systems
This recommended practice describes how to use probability methods for conducting a reliability analysis of industrial and commercial power systems. It is likely to be of greatest value to the...
P3006.5/D2, July 2014
October 1, 2014
IEEE Draft Recommended Practice for the Use of Probability Methods for Conducting a Reliability Analysis of Industrial and Commercial Power Systems
This recommended practice describes how to use probability methods for conducting a reliability analysis of industrial and commercial power systems. It is likely to be of greatest value to the...

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