Volume 4, Issue 4 (October 2008)                   IJEEE 2008, 4(4): 191-201 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

M. Aliakbar-Golkar, Y. Raisee-Gahrooyi. Stochastic Assessment of Voltage Sags in Distribution Networks. IJEEE 2008; 4 (4) :191-201
URL: http://ijeee.iust.ac.ir/article-1-85-en.html
Abstract:   (13550 Views)
This paper compares fault position and Monte Carlo methods as the most common methods in stochastic assessment of voltage sags. To compare their abilities, symmetrical and unsymmetrical faults with different probability distribution of fault positions along the lines are applied in a test system. The voltage sag magnitude in different nodes of test system is calculated. The problem with these two methods is that they require unknown number of iteration in Monte Carlo Method and number of fault position to converge to an acceptable solution. This paper proposes a method based on characteristic behavior of Monte Carlo simulations for determination required number of iteration in Monte Carlo method.
Full-Text [PDF 2184 kb]   (3929 Downloads)    
Type of Study: Research Paper |
Received: 2008/12/22 | Revised: 2011/07/09 | Accepted: 2011/07/09

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.