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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my.uniten.dspace-132822020-07-03T07:52:29Z 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. 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. 2020-02-03T03:31:32Z 2020-02-03T03:31:32Z 2019 Article 10.30534/ijatcse/2019/6881.32019 en |
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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. |
format |
Article |
author |
Mansor, N.N. Shaaya, S.A. Musirin, I. Hannoon, N.S. Mohamed, Z. Zamani, M.K.M. |
spellingShingle |
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_facet |
Mansor, N.N. Shaaya, S.A. Musirin, I. Hannoon, N.S. Mohamed, Z. Zamani, M.K.M. |
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 |
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2020 |
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1672614220352454656 |
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13.222552 |