Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab

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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