Abd. Wahab, Mohd Syful Adly
(2003)
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab.
Degree thesis, Universiti Teknologi MARA (UiTM).
Abstract
This project report presents a new approach to the use of load flow by proposing the incorporation of the Genetic Algorithms (GAs) to search the optimal transformer tap setting in order to minimise the line losses. In this way , the choice of the transformer tap setting can be determined whilst minimising losses and at the same time improved the voltage profile in the power system The performance of this Genetic Algorithms technique was tested using standard IEEE 6-bus system and analysis of results is presented.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Abd. Wahab, Mohd Syful Adly UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Abdul Rahman, Titik Khawa UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical Engineering (Hons) |
Keywords: | Power flow analysis, genetic algorithms, transformer tap, objective function |
Date: | 2003 |
URI: | https://ir.uitm.edu.my/id/eprint/77796 |
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