Abstract
This thesis studies an approach to solve economic load dispatch problem on operation of power systems. The determination of power system operation of data is based on the generation output and coefficients involved. In this study, Genetic Algorithm method is used to overcome this problem. Data taken from the test system is analysed as the power system data generation. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized. Genetic Algorithm Toolbox functions in MATLAB program are utilized in solving the proposed method. The proposed method is tested on a system consisting power generating units. The results show that the proposed method provides the minimum cost was compared with recorded data of traditional method using table comparison. Thus, the comparison showed the minimum total operating cost of data generation was achieved.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Kamarulzaman, Norliza UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Sheikh Rahimullah, Bibi Norasiqin UNSPECIFIED |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Production of electric energy or power 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: | Genetic algorithm toolbox, minimum operating cost, data generation |
Date: | 2009 |
URI: | https://ir.uitm.edu.my/id/eprint/67119 |
Download
67119.pdf
Download (127kB)