By Topic

A Monte Carlo Simulation Approach to the Method of Fault Positions for Stochastic Assessment of Voltage Dips (Sags)

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Olguin, G. ; ABB Corp. Res., Vasteras ; Aedo, M. ; Arias, M. ; Ortiz, A.

The method of fault positions is briefly introduced and used to assess the dip performance of the IEEE-RTS 24 bus system. A Monte Carlo simulation approach to the method of fault position is used to obtain the expected dip performance of the same test system. Site and system indices are estimated via both methods. The assessments are then compared. It is shown that the Monte Carlo approach provides a better description of the expected dip performance. The method of fault positions gives only long-term mean values, whereas the Monte Carlo approach provides the complete frequency distribution function of the SARFI-X index. Tables and histograms are used to present results

Published in:

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Date of Conference:

2005