Application of parallel processing in fast decoupled load flow analysis

This paper discusses performance improvements achieved in fast-decoupled load flow solution through the use of parallel processing techniques. The fast- decoupled load flow formulation consists of two decoupled system models that can be solved simultaneously using two- core processors. The IEEE 30,...

Full description

Saved in:
Bibliographic Details
Main Authors: Syafii, Syafii, Mohamed Nor, Khalid, Abdel-akher, Mamdouh
Format: Conference or Workshop Item
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/14839/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99739
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.14839
record_format eprints
spelling my.utm.148392020-06-30T08:39:02Z http://eprints.utm.my/id/eprint/14839/ Application of parallel processing in fast decoupled load flow analysis Syafii, Syafii Mohamed Nor, Khalid Abdel-akher, Mamdouh TK Electrical engineering. Electronics Nuclear engineering This paper discusses performance improvements achieved in fast-decoupled load flow solution through the use of parallel processing techniques. The fast- decoupled load flow formulation consists of two decoupled system models that can be solved simultaneously using two- core processors. The IEEE 30, 57, 118, 300 and 664 bus are used to evaluate the proposed program performance using parallel processing based on multi-core processors computer. The result shows that the parallel processing produces speedup for all cases. The performance and speedup of load flow solution by using two processors is near twice for all parallel part of the test systems. The result have followed the Amdal’s law speedup equation. 2009 Conference or Workshop Item PeerReviewed Syafii, Syafii and Mohamed Nor, Khalid and Abdel-akher, Mamdouh (2009) Application of parallel processing in fast decoupled load flow analysis. In: Electrical Energy and Industrial Electronic Systems (EEIES 2009) on 7th-8th December 2009., 2009, Parkroyal, Penang. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99739
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Syafii, Syafii
Mohamed Nor, Khalid
Abdel-akher, Mamdouh
Application of parallel processing in fast decoupled load flow analysis
description This paper discusses performance improvements achieved in fast-decoupled load flow solution through the use of parallel processing techniques. The fast- decoupled load flow formulation consists of two decoupled system models that can be solved simultaneously using two- core processors. The IEEE 30, 57, 118, 300 and 664 bus are used to evaluate the proposed program performance using parallel processing based on multi-core processors computer. The result shows that the parallel processing produces speedup for all cases. The performance and speedup of load flow solution by using two processors is near twice for all parallel part of the test systems. The result have followed the Amdal’s law speedup equation.
format Conference or Workshop Item
author Syafii, Syafii
Mohamed Nor, Khalid
Abdel-akher, Mamdouh
author_facet Syafii, Syafii
Mohamed Nor, Khalid
Abdel-akher, Mamdouh
author_sort Syafii, Syafii
title Application of parallel processing in fast decoupled load flow analysis
title_short Application of parallel processing in fast decoupled load flow analysis
title_full Application of parallel processing in fast decoupled load flow analysis
title_fullStr Application of parallel processing in fast decoupled load flow analysis
title_full_unstemmed Application of parallel processing in fast decoupled load flow analysis
title_sort application of parallel processing in fast decoupled load flow analysis
publishDate 2009
url http://eprints.utm.my/id/eprint/14839/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99739
_version_ 1672610425705857024
score 13.211869