Loading…

A new computational tool for composite reliability evaluation

The authors describe the modeling assumptions and computational aspects of a computational tool for composite reliability evaluation, CREAM. The reliability evaluation methodology for power systems is based on Monte-Carlo sampling with a variance reduction scheme which allows the incorporation of us...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on power systems 1992-02, Vol.7 (1), p.258-264
Main Authors: Pereira, M.V.F., Pinto, L.M.V.G.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The authors describe the modeling assumptions and computational aspects of a computational tool for composite reliability evaluation, CREAM. The reliability evaluation methodology for power systems is based on Monte-Carlo sampling with a variance reduction scheme which allows the incorporation of user experience or of analytical models as regression variables. The component of reliability indices explained by these regression variables is factored out of the Monte-Carlo sampling scheme, thus reducing computational effort. The approach is illustrated in case studies with 500-bus systems.< >
ISSN:0885-8950
1558-0679
DOI:10.1109/59.141712