Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar

Sahar, Zairul Nizam (2000) Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

This project report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of all power station units in a system to meet the load demand, so that the overall generation cost is a minimum, while satisfying various constraints. This project report examines the feasibility of using genetic algorithm and shows the simulation result to make a comparison of cost generated between the unit thermals.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Sahar, Zairul Nizam
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: Unit Commitment Problem (UCP), genetic algorithm, optimization techniques
Date: 2000
URI: https://ir.uitm.edu.my/id/eprint/77794
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