Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system
This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simula...
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Institute of Advanced Engineering and Science
2023
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| author | Abas N.A.S. Musirin I. Jelani S. Mansor M.H. Honnoon N.M.S. Othman M.M. |
| author2 | 57210749079 |
| author_facet | 57210749079 Abas N.A.S. Musirin I. Jelani S. Mansor M.H. Honnoon N.M.S. Othman M.M. |
| author_sort | Abas N.A.S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system. � 2019 Institute of Advanced Engineering and Science. All rights reserved. |
| format | Article |
| id | my.uniten.dspace-24484 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | my.uniten.dspace-244842023-05-29T15:23:55Z Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system Abas N.A.S. Musirin I. Jelani S. Mansor M.H. Honnoon N.M.S. Othman M.M. 57210749079 8620004100 57193388570 56372667100 57210749614 35944613200 This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system. � 2019 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T07:23:55Z 2023-05-29T07:23:55Z 2019 Article 10.11591/eei.v8i3.1631 2-s2.0-85071394911 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071394911&doi=10.11591%2feei.v8i3.1631&partnerID=40&md5=a6376ad443583b89c0189ba58ce183d7 https://irepository.uniten.edu.my/handle/123456789/24484 8 3 978 984 All Open Access, Bronze, Green Institute of Advanced Engineering and Science Scopus |
| spellingShingle | Abas N.A.S. Musirin I. Jelani S. Mansor M.H. Honnoon N.M.S. Othman M.M. Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| title | Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| title_full | Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| title_fullStr | Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| title_full_unstemmed | Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| title_short | Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| title_sort | integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system |
| url_provider | http://dspace.uniten.edu.my/ |