Application of immune log-normal evolutionary programming in distributed generation installation

Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is...

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Main Authors: Mansor M.H., Musirin I., Othman M.M., Shaaya S.A., Syed Mustaffa S.A.
Other Authors: 56372667100
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Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-232102023-05-29T14:38:27Z Application of immune log-normal evolutionary programming in distributed generation installation Mansor M.H. Musirin I. Othman M.M. Shaaya S.A. Syed Mustaffa S.A. 56372667100 8620004100 35944613200 16022846200 57189288788 Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques. � 2017 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:38:27Z 2023-05-29T06:38:27Z 2017 Article 10.11591/ijeecs.v6.i3.pp730-736 2-s2.0-85020777694 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020777694&doi=10.11591%2fijeecs.v6.i3.pp730-736&partnerID=40&md5=83bc96632dfe566ab69fff7fffb0ffe7 https://irepository.uniten.edu.my/handle/123456789/23210 6 3 730 736 Institute of Advanced Engineering and Science Scopus
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country Malaysia
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description Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques. � 2017 Institute of Advanced Engineering and Science. All rights reserved.
author2 56372667100
author_facet 56372667100
Mansor M.H.
Musirin I.
Othman M.M.
Shaaya S.A.
Syed Mustaffa S.A.
format Article
author Mansor M.H.
Musirin I.
Othman M.M.
Shaaya S.A.
Syed Mustaffa S.A.
spellingShingle Mansor M.H.
Musirin I.
Othman M.M.
Shaaya S.A.
Syed Mustaffa S.A.
Application of immune log-normal evolutionary programming in distributed generation installation
author_sort Mansor M.H.
title Application of immune log-normal evolutionary programming in distributed generation installation
title_short Application of immune log-normal evolutionary programming in distributed generation installation
title_full Application of immune log-normal evolutionary programming in distributed generation installation
title_fullStr Application of immune log-normal evolutionary programming in distributed generation installation
title_full_unstemmed Application of immune log-normal evolutionary programming in distributed generation installation
title_sort application of immune log-normal evolutionary programming in distributed generation installation
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806426463155519488
score 13.222552