Adnan, Mohd Nazmi
(2009)
Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan.
Degree thesis, Universiti Teknologi MARA (UiTM).
Abstract
This thesis presents, the study involves in the development of multi population Evolutionary Programming for Distributed Generation (DG) installation in distribution systems. While installing the DG into the system, improve on the voltage profile and reduction of power loss based on the optimal location and sizing of DG. Generally, DG is defined as a small-scale electricity generation which the electricity is generated in large power stations to achieve cost reduction.
Item Details
| Item Type: | Thesis (Degree) |
|---|---|
| Creators: | Creators Email / ID Num. Adnan, Mohd Nazmi UNSPECIFIED |
| Contributors: | Contribution Name Email / ID Num. Thesis advisor Musirin, Ismail (Assoc. Prof. Dr.) UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
| Programme: | Bachelor in Electrical Engineering (Hons.) |
| Keywords: | Generation, Population, Programming |
| Date: | 2009 |
| URI: | https://ir.uitm.edu.my/id/eprint/86943 |
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Physical Location
- Koleksi Akses Terhad | PTAR Utama | Shah Alam
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