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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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 |
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Universiti Teknologi MARA |
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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 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 |