Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.

The application of the developed optimization technique Multi Objective Adaptive Tumbling Bacterial Foraging (MOATBFO) was introduced to solve the multi objective Reactive Power Planning (RPP) problems. The objective of conventional RPP problems is to minimize the total power losses in a system....

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Main Authors: E.E, Hassan, T.K.A, Rahman, Z., Zakaria, N., Bahaman, M.H, Jifri
Format: Journal
Language:en
Published: 2018
Subjects:
Online Access:http://ur.aeu.edu.my/461/1/Multi%20Objective%20Adaptive%20Tumbling%20bacterial%20Foraging%20in%20VAR%20Solutions%20for%20Sustainable%20Power%20System%20Operation..pdf
http://ur.aeu.edu.my/461/
http://doi.org/10.11591/ijeecs.v11.i1.pp129-136
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_version_ 1831336450057043968
author E.E, Hassan
T.K.A, Rahman
Z., Zakaria
N., Bahaman
M.H, Jifri
author_facet E.E, Hassan
T.K.A, Rahman
Z., Zakaria
N., Bahaman
M.H, Jifri
author_sort E.E, Hassan
building AEU Library
collection Institutional Repository
content_provider Asia e University
content_source AEU University Repository
continent Asia
country Malaysia
description The application of the developed optimization technique Multi Objective Adaptive Tumbling Bacterial Foraging (MOATBFO) was introduced to solve the multi objective Reactive Power Planning (RPP) problems. The objective of conventional RPP problems is to minimize the total power losses in a system. However, in this study, the aspect of security was also taken into consideration in terms of voltage stability condition in solving RPP problems. Hence, the RPP problem is now termed as security constrained RPP (SCRPP) and generalized into a multi objective function via weighted sum method that labeled as MOSCRPP. The best minimum voltage solution for the network is aimed in ensuring the sustainable power system operation. In order to verify the performance of the proposed technique were used for MOSCRPP in the IEEE 57 bus system thus the comprehensive analyses were also conducted with other multi objective Meta heuristic Evolutionary Programming (Meta-EP). From the results it shows that the multi objective ATBFO optimization is able to give better overall improvement in the objective functions for SCRPP problems
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publishDate 2018
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spelling my-aeu-eprints.4612019-05-21T04:40:45Z http://ur.aeu.edu.my/461/ Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation. E.E, Hassan T.K.A, Rahman Z., Zakaria N., Bahaman M.H, Jifri AI Indexes (General) The application of the developed optimization technique Multi Objective Adaptive Tumbling Bacterial Foraging (MOATBFO) was introduced to solve the multi objective Reactive Power Planning (RPP) problems. The objective of conventional RPP problems is to minimize the total power losses in a system. However, in this study, the aspect of security was also taken into consideration in terms of voltage stability condition in solving RPP problems. Hence, the RPP problem is now termed as security constrained RPP (SCRPP) and generalized into a multi objective function via weighted sum method that labeled as MOSCRPP. The best minimum voltage solution for the network is aimed in ensuring the sustainable power system operation. In order to verify the performance of the proposed technique were used for MOSCRPP in the IEEE 57 bus system thus the comprehensive analyses were also conducted with other multi objective Meta heuristic Evolutionary Programming (Meta-EP). From the results it shows that the multi objective ATBFO optimization is able to give better overall improvement in the objective functions for SCRPP problems 2018 Journal NonPeerReviewed text en http://ur.aeu.edu.my/461/1/Multi%20Objective%20Adaptive%20Tumbling%20bacterial%20Foraging%20in%20VAR%20Solutions%20for%20Sustainable%20Power%20System%20Operation..pdf E.E, Hassan and T.K.A, Rahman and Z., Zakaria and N., Bahaman and M.H, Jifri (2018) Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). pp. 129-136. ISSN 2502-4752 http://doi.org/10.11591/ijeecs.v11.i1.pp129-136
spellingShingle AI Indexes (General)
E.E, Hassan
T.K.A, Rahman
Z., Zakaria
N., Bahaman
M.H, Jifri
Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
title Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
title_full Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
title_fullStr Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
title_full_unstemmed Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
title_short Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
title_sort multi objective adaptive tumbling bacterial foraging in var solutions for sustainable power system operation.
topic AI Indexes (General)
url http://ur.aeu.edu.my/461/1/Multi%20Objective%20Adaptive%20Tumbling%20bacterial%20Foraging%20in%20VAR%20Solutions%20for%20Sustainable%20Power%20System%20Operation..pdf
http://ur.aeu.edu.my/461/
http://doi.org/10.11591/ijeecs.v11.i1.pp129-136
url_provider http://ur.aeu.edu.my/