Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan
In modern energy management system, maintaining an economical, secure and reliable generation scheduling is an important operation problem. Competitive bidding for energy and ancillary services are gradually more known as an important part of electricity market. Additionally, the transmission capaci...
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my-uitm-ir.672462023-01-20T03:04:06Z Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan 2017 Ramlan, Nur Ajlaa Amirah Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission In modern energy management system, maintaining an economical, secure and reliable generation scheduling is an important operation problem. Competitive bidding for energy and ancillary services are gradually more known as an important part of electricity market. Additionally, the transmission capacity limit must be considered in optimizing the total market cost. In this study, an approach based on constrained particle swarm optimization (PSO) is developed to cope with the generation and reserve, and multi-area electricity market dispatch problem. The PSO method proposes a solution for optimizing the total cost in a multi-area competitive market considering the system constraints. A test system consisting of six generation unit is tested by using the proposed method. 2017 Thesis https://ir.uitm.edu.my/id/eprint/67246/ https://ir.uitm.edu.my/id/eprint/67246/2/67246.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin |
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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 Ramlan, Nur Ajlaa Amirah Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan |
description |
In modern energy management system, maintaining an economical, secure and reliable generation scheduling is an important operation problem. Competitive bidding for energy and ancillary services are gradually more known as an important part of electricity market. Additionally, the transmission capacity limit must be considered in optimizing the total market cost. In this study, an approach based on constrained particle swarm optimization (PSO) is developed to cope with the generation and reserve, and multi-area electricity market dispatch problem. The PSO method proposes a solution for optimizing the total cost in a multi-area competitive market considering the system constraints. A test system consisting of six generation unit is tested by using the proposed method. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Ramlan, Nur Ajlaa Amirah |
author_facet |
Ramlan, Nur Ajlaa Amirah |
author_sort |
Ramlan, Nur Ajlaa Amirah |
title |
Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan |
title_short |
Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan |
title_full |
Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan |
title_fullStr |
Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan |
title_full_unstemmed |
Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan |
title_sort |
generation and reserve dispatch in a competitive market using constrained particle swarm optimization / nur ajlaa amirah ramlan |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2017 |
url |
https://ir.uitm.edu.my/id/eprint/67246/2/67246.pdf |
_version_ |
1783735671792336896 |