Multi-area reliability assessment of interconnected generating systems using hybrid approach


Autoria(s): Nourbakhsh, Ghavameddin; Khan, Easin; Shannon, G. F.
Data(s)

1992

Resumo

This paper present an efficient method using system state sampling technique in Monte Carlo simulation for reliability evaluation of multi-area power systems, at Hierarchical Level One (HLI). System state sampling is one of the common methods used in Monte Carlo simulation. The cpu time and memory requirement can be a problem, using this method. Combination of analytical and Monte Carlo method known as Hybrid method, as presented in this paper, can enhance the efficiency of the solution. Incorporation of load model in this study can be utilised either by sampling or enumeration. Both cases are examined in this paper, by application of the methods on Roy Billinton Test System(RBTS).

Identificador

http://eprints.qut.edu.au/57049/

Relação

http://itee.uq.edu.au/~aupec/archive-aupec.html

Nourbakhsh, Ghavameddin, Khan, Easin, & Shannon, G. F. (1992) Multi-area reliability assessment of interconnected generating systems using hybrid approach. In AUPCEC 1992, 1-2 October 1992, Brisbane.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #090607 Power and Energy Systems Engineering (excl. Renewable Power) #090699 Electrical and Electronic Engineering not elsewhere classified #Generation Reliability #Monte Carlo #HLI #RBTS #Hybrid method
Tipo

Conference Paper