Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman

Kamarulzaman, Norliza (2009) Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman. Degree thesis, Universiti Teknologi MARA (UiTM).

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. Powerplants. Central stations
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
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