Optimal location and size of distributed generation to reduce power losses based on differential evolution technique
An electric power system generate electricity to meet demands. Distributed Generation (DG) allows electricity to be generated in a small capacity where the customer is located. In this paper, multi-objective functions based on the indices of system performance are formulated and used to determine th...
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/55831/ http://psasir.upm.edu.my/id/eprint/55831/1/19-JTS%28S%29-0095-2016-4thProof.pdf |
| _version_ | 1848852912355147776 |
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| author | Abdul Wahab, Noor Izzri Hammadi, Ahmed Sahib Othman, Mohammad Lutfi |
| author_facet | Abdul Wahab, Noor Izzri Hammadi, Ahmed Sahib Othman, Mohammad Lutfi |
| author_sort | Abdul Wahab, Noor Izzri |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | An electric power system generate electricity to meet demands. Distributed Generation (DG) allows electricity to be generated in a small capacity where the customer is located. In this paper, multi-objective functions based on the indices of system performance are formulated and used to determine the best location. The Differential Evolution technique (DE) has been employed to calculate optimal sizing for each location. Unity power factor DG model have been studied in this work and the problems solved with one DG unit. IEEE 14 bus has been used as a test system. |
| first_indexed | 2025-11-15T10:45:37Z |
| format | Article |
| id | upm-55831 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:45:37Z |
| publishDate | 2017 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-558312017-07-05T05:03:51Z http://psasir.upm.edu.my/id/eprint/55831/ Optimal location and size of distributed generation to reduce power losses based on differential evolution technique Abdul Wahab, Noor Izzri Hammadi, Ahmed Sahib Othman, Mohammad Lutfi An electric power system generate electricity to meet demands. Distributed Generation (DG) allows electricity to be generated in a small capacity where the customer is located. In this paper, multi-objective functions based on the indices of system performance are formulated and used to determine the best location. The Differential Evolution technique (DE) has been employed to calculate optimal sizing for each location. Unity power factor DG model have been studied in this work and the problems solved with one DG unit. IEEE 14 bus has been used as a test system. Universiti Putra Malaysia Press 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55831/1/19-JTS%28S%29-0095-2016-4thProof.pdf Abdul Wahab, Noor Izzri and Hammadi, Ahmed Sahib and Othman, Mohammad Lutfi (2017) Optimal location and size of distributed generation to reduce power losses based on differential evolution technique. Pertanika Journal of Science & Technology, 25 (spec. Jan.). pp. 169-178. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(S)%20Jan.%202017/19-JTS(S)-0095-2016-4thProof.pdf |
| spellingShingle | Abdul Wahab, Noor Izzri Hammadi, Ahmed Sahib Othman, Mohammad Lutfi Optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| title | Optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| title_full | Optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| title_fullStr | Optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| title_full_unstemmed | Optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| title_short | Optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| title_sort | optimal location and size of distributed generation to reduce power losses based on differential evolution technique |
| url | http://psasir.upm.edu.my/id/eprint/55831/ http://psasir.upm.edu.my/id/eprint/55831/ http://psasir.upm.edu.my/id/eprint/55831/1/19-JTS%28S%29-0095-2016-4thProof.pdf |