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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2019
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my.uitm.ir.672532023-01-20T02:59:04Z https://ir.uitm.edu.my/id/eprint/67253/ Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/67253/2/67253.pdf Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood. (2019) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Wan Mahmood, Wan Nur Naimah Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood |
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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. |
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Thesis |
author |
Wan Mahmood, Wan Nur Naimah |
author_facet |
Wan Mahmood, Wan Nur Naimah |
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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 |
publishDate |
2019 |
url |
https://ir.uitm.edu.my/id/eprint/67253/2/67253.pdf https://ir.uitm.edu.my/id/eprint/67253/ |
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1755876024044748800 |
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13.209306 |