Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid
This thesis discusses the solution of Economic Dispatch (ED) problems which is to minimize the total cost of generation in power system operation by using Particle Swarm Optimization (PSO). In this study, the PSO is suggested in order to improve the local search by allocating generation among the co...
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my-uitm-ir.672632023-01-10T01:48:52Z Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid 2017 Abd Khalid, Muhammad Afif Fikri Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This thesis discusses the solution of Economic Dispatch (ED) problems which is to minimize the total cost of generation in power system operation by using Particle Swarm Optimization (PSO). In this study, the PSO is suggested in order to improve the local search by allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. The proposed PSO method is developed using MATLAB programming. The PSO method is tested on six generator units system. The results obtained proved that PSO is able to solve the problem with minimum total cost of generation. 2017 Thesis https://ir.uitm.edu.my/id/eprint/67263/ https://ir.uitm.edu.my/id/eprint/67263/2/67263.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Sheikh Rahimullah, Bibi Norasiqin |
topic |
Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations |
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Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations Abd Khalid, Muhammad Afif Fikri Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid |
description |
This thesis discusses the solution of Economic Dispatch (ED) problems which is to minimize the total cost of generation in power system operation by using Particle Swarm Optimization (PSO). In this study, the PSO is suggested in order to improve the local search by allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. The proposed PSO method is developed using MATLAB programming. The PSO method is tested on six generator units system. The results obtained proved that PSO is able to solve the problem with minimum total cost of generation. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Abd Khalid, Muhammad Afif Fikri |
author_facet |
Abd Khalid, Muhammad Afif Fikri |
author_sort |
Abd Khalid, Muhammad Afif Fikri |
title |
Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid |
title_short |
Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid |
title_full |
Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid |
title_fullStr |
Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid |
title_full_unstemmed |
Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid |
title_sort |
solution of economic dispatch using particle swarm optimization / muhammad afif fikri abd khalid |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2017 |
url |
https://ir.uitm.edu.my/id/eprint/67263/2/67263.pdf |
_version_ |
1783735672906973184 |