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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