A new computational tool for composite reliability evaluation

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on power systems 1992-02, Vol.7 (1), p.258-264
Hauptverfasser: Pereira, M.V.F., Pinto, L.M.V.G.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Availability
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Integrated circuit interconnections
Operation. Load control. Reliability
Power generation
Power networks and lines
Power system analysis computing
Power system interconnection
Power system planning
Power system reliability
Power transmission lines
Probability distribution
Sampling methods
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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