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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. How...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Hassan, Elia Erwani, Abdul Rahman, ‪Titik Khawa, Zakaria, Zuhaina, Bahaman, Nazrulazhar, Jifri, Mohammad Hanif
التنسيق: مقال
اللغة:English
منشور في: Institute of Advanced Engineering and Science 2018
الوصول للمادة أونلاين:http://eprints.utem.edu.my/id/eprint/25350/2/12755-19045-1-PB.pdf
http://eprints.utem.edu.my/id/eprint/25350/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/12755/8652
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id my.utem.eprints.25350
record_format eprints
spelling my.utem.eprints.253502023-06-28T15:08:22Z http://eprints.utem.edu.my/id/eprint/25350/ Multi objective adaptive tumbling bacterial foraging in VAR solutions for sustainable power system operation Hassan, Elia Erwani Abdul Rahman, ‪Titik Khawa Zakaria, Zuhaina Bahaman, Nazrulazhar Jifri, Mohammad Hanif 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. Institute of Advanced Engineering and Science 2018-07 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25350/2/12755-19045-1-PB.pdf Hassan, Elia Erwani and Abdul Rahman, ‪Titik Khawa and Zakaria, Zuhaina and Bahaman, Nazrulazhar and Jifri, Mohammad Hanif (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://ijeecs.iaescore.com/index.php/IJEECS/article/view/12755/8652 10.11591/ijeecs.v11.i1.pp129-136
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
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.
format Article
author Hassan, Elia Erwani
Abdul Rahman, ‪Titik Khawa
Zakaria, Zuhaina
Bahaman, Nazrulazhar
Jifri, Mohammad Hanif
spellingShingle Hassan, Elia Erwani
Abdul Rahman, ‪Titik Khawa
Zakaria, Zuhaina
Bahaman, Nazrulazhar
Jifri, Mohammad Hanif
Multi objective adaptive tumbling bacterial foraging in VAR solutions for sustainable power system operation
author_facet Hassan, Elia Erwani
Abdul Rahman, ‪Titik Khawa
Zakaria, Zuhaina
Bahaman, Nazrulazhar
Jifri, Mohammad Hanif
author_sort Hassan, Elia Erwani
title 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_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_sort multi objective adaptive tumbling bacterial foraging in var solutions for sustainable power system operation
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/25350/2/12755-19045-1-PB.pdf
http://eprints.utem.edu.my/id/eprint/25350/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/12755/8652
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score 13.250246

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