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Maximum loadability enhancement with a hybrid optimization method

Nowadays, a power system is operating in a stressed condition due to the increase in demand in addition to constraint in building new power plants. The economics and environmental constraints to build new power plants and transmission lines have led the system to operate very close to its stability...

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Main Authors: Hassan, Elia Erwani, Abdul Rahman, Titik Khawa, Zakaria, Zuhaina, Bahaman, Nazrulazhar, Jifri, Mohammad Hanif
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
Online Access:http://eprints.utem.edu.my/id/eprint/25349/2/MAXIMUM%20LOADABILITY%20ENHANCEMENT.PDF
http://eprints.utem.edu.my/id/eprint/25349/
https://beei.org/index.php/EEI/article/view/1168/837
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spelling my.utem.eprints.253492023-06-28T15:06:24Z http://eprints.utem.edu.my/id/eprint/25349/ Maximum loadability enhancement with a hybrid optimization method Hassan, Elia Erwani Abdul Rahman, Titik Khawa Zakaria, Zuhaina Bahaman, Nazrulazhar Jifri, Mohammad Hanif Nowadays, a power system is operating in a stressed condition due to the increase in demand in addition to constraint in building new power plants. The economics and environmental constraints to build new power plants and transmission lines have led the system to operate very close to its stability limits. Hence, more researches are required to study the important requirements to maintain stable voltage condition and hence develop new techniques in order to address the voltage stability problem. As an action, most Reactive Power Planning (RPP) objective is to minimize the cost of new reactive resources while satisfying the voltage stability constraints and labeled as Secured Reactive Power Planning (SCRPP). The new alternative optimization technique called Adaptive Tumbling Bacterial Foraging (ATBFO) was introduced to solve the RPP problems in the IEEE 57 bus system. The comparison common optimization Meta-Heuristic Evolutionary Programming and original Bacterial Foraging techniques were chosen to verify the performance using the proposed ATBFO method. As a result, the ATBFO method is confirmed as the best suitable solution in solving the identified RPP objective functions. Institute of Advanced Engineering and Science 2018-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25349/2/MAXIMUM%20LOADABILITY%20ENHANCEMENT.PDF Hassan, Elia Erwani and Abdul Rahman, Titik Khawa and Zakaria, Zuhaina and Bahaman, Nazrulazhar and Jifri, Mohammad Hanif (2018) Maximum loadability enhancement with a hybrid optimization method. Bulletin of Electrical Engineering and Informatics, 7 (3). pp. 323-330. ISSN 2089-3191 https://beei.org/index.php/EEI/article/view/1168/837 10.11591/eei.v7i3.1168
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 Nowadays, a power system is operating in a stressed condition due to the increase in demand in addition to constraint in building new power plants. The economics and environmental constraints to build new power plants and transmission lines have led the system to operate very close to its stability limits. Hence, more researches are required to study the important requirements to maintain stable voltage condition and hence develop new techniques in order to address the voltage stability problem. As an action, most Reactive Power Planning (RPP) objective is to minimize the cost of new reactive resources while satisfying the voltage stability constraints and labeled as Secured Reactive Power Planning (SCRPP). The new alternative optimization technique called Adaptive Tumbling Bacterial Foraging (ATBFO) was introduced to solve the RPP problems in the IEEE 57 bus system. The comparison common optimization Meta-Heuristic Evolutionary Programming and original Bacterial Foraging techniques were chosen to verify the performance using the proposed ATBFO method. As a result, the ATBFO method is confirmed as the best suitable solution in solving the identified RPP objective functions.
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
Maximum loadability enhancement with a hybrid optimization method
author_facet Hassan, Elia Erwani
Abdul Rahman, Titik Khawa
Zakaria, Zuhaina
Bahaman, Nazrulazhar
Jifri, Mohammad Hanif
author_sort Hassan, Elia Erwani
title Maximum loadability enhancement with a hybrid optimization method
title_short Maximum loadability enhancement with a hybrid optimization method
title_full Maximum loadability enhancement with a hybrid optimization method
title_fullStr Maximum loadability enhancement with a hybrid optimization method
title_full_unstemmed Maximum loadability enhancement with a hybrid optimization method
title_sort maximum loadability enhancement with a hybrid optimization method
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/25349/2/MAXIMUM%20LOADABILITY%20ENHANCEMENT.PDF
http://eprints.utem.edu.my/id/eprint/25349/
https://beei.org/index.php/EEI/article/view/1168/837
_version_ 1770555170972762112
score 13.211869

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