Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood

Multi-area economic dispatch (MAED) is very important issue in power system operation. This study presents a Particle Swarm Optimization (PSO) approach to address the MAED problems. This approach will consider the flow limits between the areas and generation limits in order to minimize the generatio...

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Bibliographic Details
Main Author:	Wan Mahmood, Wan Nur Naimah
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67253/2/67253.pdf
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id	my-uitm-ir.67253
record_format	uketd_dc
spelling	my-uitm-ir.672532023-01-20T02:59:04Z Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood 2019 Wan Mahmood, Wan Nur Naimah Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Multi-area economic dispatch (MAED) is very important issue in power system operation. This study presents a Particle Swarm Optimization (PSO) approach to address the MAED problems. This approach will consider the flow limits between the areas and generation limits in order to minimize the generation cost. The proposed method is tested with three different case studies. The results show that PSO is capable to solve ED and MAED problems. These case studies show that the PSO gives better result compared to Genetic Algorithm (GA) and Lagrange multiplier in term of minimization the total cost. The results also show that when the flow limit is increased, the generation cost will be cheaper. 2019 Thesis https://ir.uitm.edu.my/id/eprint/67253/ https://ir.uitm.edu.my/id/eprint/67253/2/67253.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
spellingShingle	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations Wan Mahmood, Wan Nur Naimah Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood
description	Multi-area economic dispatch (MAED) is very important issue in power system operation. This study presents a Particle Swarm Optimization (PSO) approach to address the MAED problems. This approach will consider the flow limits between the areas and generation limits in order to minimize the generation cost. The proposed method is tested with three different case studies. The results show that PSO is capable to solve ED and MAED problems. These case studies show that the PSO gives better result compared to Genetic Algorithm (GA) and Lagrange multiplier in term of minimization the total cost. The results also show that when the flow limit is increased, the generation cost will be cheaper.
format	Thesis
qualification_level	Bachelor degree
author	Wan Mahmood, Wan Nur Naimah
author_facet	Wan Mahmood, Wan Nur Naimah
author_sort	Wan Mahmood, Wan Nur Naimah
title	Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood
title_short	Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood
title_full	Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood
title_fullStr	Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood
title_full_unstemmed	Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood
title_sort	economic dispatch in multi-area using particle swarm optimization (pso) / wan nur naimah wan mahmood
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/67253/2/67253.pdf
_version_	1783735672136269824

Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood

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