Reusability techniques in load-flow analysis computer program

This paper describes the implementation of reusability aspects in producing load-flow analysis software application. The reusability in the algorithm and codes are obtained by applying matrix partitioning approach for Newton method and sequential approach for Fast Decoupled method. The software is b...

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Main Authors: Nor, K.M., Mokhlis, Hazlie, Gani, T.A.
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2004
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Online Access:http://eprints.um.edu.my/7917/
http://ieeexplore.ieee.org/ielx5/59/29700/01350811.pdf?tp=&arnumber=1350811&isnumber=29700
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spelling my.um.eprints.79172019-10-09T09:24:14Z http://eprints.um.edu.my/7917/ Reusability techniques in load-flow analysis computer program Nor, K.M. Mokhlis, Hazlie Gani, T.A. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper describes the implementation of reusability aspects in producing load-flow analysis software application. The reusability in the algorithm and codes are obtained by applying matrix partitioning approach for Newton method and sequential approach for Fast Decoupled method. The software is built by using component-based development and object oriented programming methodologies. These methodologies made the developed load-flow analysis software flexible for future enhancement. Adding and changing codes and algorithm of the software can be done without affecting much the existing codes and algorithms. By maximizing the reusability aspects, the cost and time of software maintenance for updating can be reduced. Institute of Electrical and Electronics Engineers (IEEE) 2004 Article PeerReviewed Nor, K.M. and Mokhlis, Hazlie and Gani, T.A. (2004) Reusability techniques in load-flow analysis computer program. IEEE Transactions on Power Systems, 19 (4). pp. 1754-1762. ISSN 0885-8950 http://ieeexplore.ieee.org/ielx5/59/29700/01350811.pdf?tp=&arnumber=1350811&isnumber=29700
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Nor, K.M.
Mokhlis, Hazlie
Gani, T.A.
Reusability techniques in load-flow analysis computer program
description This paper describes the implementation of reusability aspects in producing load-flow analysis software application. The reusability in the algorithm and codes are obtained by applying matrix partitioning approach for Newton method and sequential approach for Fast Decoupled method. The software is built by using component-based development and object oriented programming methodologies. These methodologies made the developed load-flow analysis software flexible for future enhancement. Adding and changing codes and algorithm of the software can be done without affecting much the existing codes and algorithms. By maximizing the reusability aspects, the cost and time of software maintenance for updating can be reduced.
format Article
author Nor, K.M.
Mokhlis, Hazlie
Gani, T.A.
author_facet Nor, K.M.
Mokhlis, Hazlie
Gani, T.A.
author_sort Nor, K.M.
title Reusability techniques in load-flow analysis computer program
title_short Reusability techniques in load-flow analysis computer program
title_full Reusability techniques in load-flow analysis computer program
title_fullStr Reusability techniques in load-flow analysis computer program
title_full_unstemmed Reusability techniques in load-flow analysis computer program
title_sort reusability techniques in load-flow analysis computer program
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2004
url http://eprints.um.edu.my/7917/
http://ieeexplore.ieee.org/ielx5/59/29700/01350811.pdf?tp=&arnumber=1350811&isnumber=29700
_version_ 1648736099410903040
score 13.160551