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