The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin

Unit Commitment problems are well known in the power industry and have the potential to save millions of money per year in fuel and related costs. It is an area of production scheduling that relates to the determination of the on/off status of the generating units during each interval of the schedul...

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Main Author: Baharudin, Zuhairi
Format: Thesis
Language:English
Published: 1998
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/104400/1/104400.pdf
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spelling my-uitm-ir.1044002024-10-03T07:22:37Z The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin 1998 Baharudin, Zuhairi Production of electric energy or power Electric apparatus and materials. Electric circuits. Electric networks Unit Commitment problems are well known in the power industry and have the potential to save millions of money per year in fuel and related costs. It is an area of production scheduling that relates to the determination of the on/off status of the generating units during each interval of the scheduling period. In this thesis proposes an innovative Genetic Algorithm (GA) approach to solve the thermal unit commitment (UC) problem in power generation industry. Due to large variety of constraints to be satisfied a proper fitness function of the GA is built. MATLAB program is used to solve the unit commitment problems and to represent the fitness function of die GA. 1998 Thesis https://ir.uitm.edu.my/id/eprint/104400/ https://ir.uitm.edu.my/id/eprint/104400/1/104400.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Production of electric energy or power
Production of electric energy or power
spellingShingle Production of electric energy or power
Production of electric energy or power
Baharudin, Zuhairi
The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin
description Unit Commitment problems are well known in the power industry and have the potential to save millions of money per year in fuel and related costs. It is an area of production scheduling that relates to the determination of the on/off status of the generating units during each interval of the scheduling period. In this thesis proposes an innovative Genetic Algorithm (GA) approach to solve the thermal unit commitment (UC) problem in power generation industry. Due to large variety of constraints to be satisfied a proper fitness function of the GA is built. MATLAB program is used to solve the unit commitment problems and to represent the fitness function of die GA.
format Thesis
qualification_level Bachelor degree
author Baharudin, Zuhairi
author_facet Baharudin, Zuhairi
author_sort Baharudin, Zuhairi
title The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin
title_short The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin
title_full The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin
title_fullStr The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin
title_full_unstemmed The application of genetic algorithm to solve unit commitment problem/ Zuhairi Baharudin
title_sort application of genetic algorithm to solve unit commitment problem/ zuhairi baharudin
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 1998
url https://ir.uitm.edu.my/id/eprint/104400/1/104400.pdf
_version_ 1818588099437920256