Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation
This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programm...
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World Academy of Research in Science and Engineering
2023
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my.uniten.dspace-249272023-05-29T15:28:59Z Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation Mansor N.N. Shaaya S.A. Musirin I. Hannoon N.S. Mohamed Z. Zamani M.K.M. 57211475889 16022846200 8620004100 6508371886 57211472589 57193428895 This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. The aim is to enhance the voltage stability in power system with the presence of distributed generation. The proposed technique was validated using the IEEE 33-Bus Distribution System. Results obtained from the study revealed that the proposed technique is better than EP in terms of optimizing the sizing of DG and location. � 2019, World Academy of Research in Science and Engineering. All rights reserved. Final 2023-05-29T07:28:59Z 2023-05-29T07:28:59Z 2019 Article 10.30534/ijatcse/2019/6881.32019 2-s2.0-85074083643 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074083643&doi=10.30534%2fijatcse%2f2019%2f6881.32019&partnerID=40&md5=05cc6d5ad79bc6302fbf65ce9f918eda https://irepository.uniten.edu.my/handle/123456789/24927 8 1.3 S1 68 387 393 All Open Access, Bronze World Academy of Research in Science and Engineering Scopus |
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This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. The aim is to enhance the voltage stability in power system with the presence of distributed generation. The proposed technique was validated using the IEEE 33-Bus Distribution System. Results obtained from the study revealed that the proposed technique is better than EP in terms of optimizing the sizing of DG and location. � 2019, World Academy of Research in Science and Engineering. All rights reserved. |
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57211475889 |
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57211475889 Mansor N.N. Shaaya S.A. Musirin I. Hannoon N.S. Mohamed Z. Zamani M.K.M. |
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Article |
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Mansor N.N. Shaaya S.A. Musirin I. Hannoon N.S. Mohamed Z. Zamani M.K.M. |
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Mansor N.N. Shaaya S.A. Musirin I. Hannoon N.S. Mohamed Z. Zamani M.K.M. Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
author_sort |
Mansor N.N. |
title |
Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
title_short |
Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
title_full |
Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
title_fullStr |
Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
title_full_unstemmed |
Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
title_sort |
embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation |
publisher |
World Academy of Research in Science and Engineering |
publishDate |
2023 |
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1806427961155387392 |
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13.222552 |