DocumentCode :
509916
Title :
Monte Carlo simulation in generating capacity adequacy assessment (state sampling technique)
Author :
El Wafa, A.R.A. ; Helal, Ibrahinm ; Haggag, Gamal
Author_Institution :
Dept. of Electr. Power & Machines, Ain Shams Univ., Cairo, Egypt
Volume :
2
fYear :
2006
fDate :
19-21 Dec. 2006
Firstpage :
541
Lastpage :
546
Abstract :
The paper presents an algorithm for generating capacity adequacy study for the reliability test system IEEE RTS. based on Monte Carlo simulation-state sampling technique. The Monte Carlo simulation procedure treats the problem as a series of ¿real¿ experiments, whose outcomes depend on the operating characteristics of the components and of the system. The reliability indices are then estimated by observing the experiment. The paper presents some results for the generating system in the IEEE RTS. The objective of this paper is to present reliability indices and to illustrate how the Monte Carlo method can be used to provide a physical insight in the random behaviour of the generating system.
Keywords :
Monte Carlo methods; digital simulation; electric power generation; power system reliability; sampling methods; IEEE reliability test system; Monte Carlo simulation; generating capacity adequacy assessment; generating system; state sampling technique; Renewable energy resources; Sampling methods; IEEE reliability test system; Monte Carlo simulation; generating system adequacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference, 2006. MEPCON 2006. Eleventh International Middle East
Conference_Location :
El-Minia
Print_ISBN :
978-1-4244-5111-1
Type :
conf
Filename :
5372422
Link To Document :
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