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Multi -Objective Economic Dispatch Using Evolutionary Programming

Economic dispatch (ED) is an optimization strategy to ensure power system operate in such an economic manner. This study focused on solving multi-objectives economic dispatch using Heuristic Optimization (HO) technique which is Multi-Objective Evolutionary Programming (MOEP). Increasing amount of to...

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Main Author: Noor Azlan Bin Adnan
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Language:English
Published: 2023
Subjects:
Economic Dispatch
Evolutionary Programming
Multi-Objective
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spelling my.uniten.dspace-206882023-05-04T21:55:43Z Multi -Objective Economic Dispatch Using Evolutionary Programming Noor Azlan Bin Adnan Economic Dispatch Evolutionary Programming Multi-Objective Economic dispatch (ED) is an optimization strategy to ensure power system operate in such an economic manner. This study focused on solving multi-objectives economic dispatch using Heuristic Optimization (HO) technique which is Multi-Objective Evolutionary Programming (MOEP). Increasing amount of total cost and total losses power system forcing developer to seek a plan to reduce the values. Therefore, this project proposed an algorithm to minimize total cost and total losses simultaneously and find the best adjustment for this economic dispatch problems. Weighted Sum Method (WSM) has been applied to find trade-off solution between both objectives. Two constraints used to increase performance of this project which are equality and inequality constraints. The practicable proposed method has been tested on IEEE 30 Bus RTS which demonstrated for three different case. Case study 1 will operate on normal operation, case study 2 will operate with 50% load increment and lastly, case study 3 will operate with 70% load increment. The designated algorithm of MOEP used MATLAB to run the simulations. The performance of MOEP for this project has been compared with other technique which is Artificial Immune System (AIS). The experimental result shows that MOEP dominates in all cases that have been tested. Hence, MOEP is admirable to provide high-quality solutions economic dispatch problems. 2023-05-03T15:13:34Z 2023-05-03T15:13:34Z 2019-10 https://irepository.uniten.edu.my/handle/123456789/20688 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Economic Dispatch
Evolutionary Programming
Multi-Objective
spellingShingle Economic Dispatch
Evolutionary Programming
Multi-Objective
Noor Azlan Bin Adnan
Multi -Objective Economic Dispatch Using Evolutionary Programming
description Economic dispatch (ED) is an optimization strategy to ensure power system operate in such an economic manner. This study focused on solving multi-objectives economic dispatch using Heuristic Optimization (HO) technique which is Multi-Objective Evolutionary Programming (MOEP). Increasing amount of total cost and total losses power system forcing developer to seek a plan to reduce the values. Therefore, this project proposed an algorithm to minimize total cost and total losses simultaneously and find the best adjustment for this economic dispatch problems. Weighted Sum Method (WSM) has been applied to find trade-off solution between both objectives. Two constraints used to increase performance of this project which are equality and inequality constraints. The practicable proposed method has been tested on IEEE 30 Bus RTS which demonstrated for three different case. Case study 1 will operate on normal operation, case study 2 will operate with 50% load increment and lastly, case study 3 will operate with 70% load increment. The designated algorithm of MOEP used MATLAB to run the simulations. The performance of MOEP for this project has been compared with other technique which is Artificial Immune System (AIS). The experimental result shows that MOEP dominates in all cases that have been tested. Hence, MOEP is admirable to provide high-quality solutions economic dispatch problems.
format
author Noor Azlan Bin Adnan
author_facet Noor Azlan Bin Adnan
author_sort Noor Azlan Bin Adnan
title Multi -Objective Economic Dispatch Using Evolutionary Programming
title_short Multi -Objective Economic Dispatch Using Evolutionary Programming
title_full Multi -Objective Economic Dispatch Using Evolutionary Programming
title_fullStr Multi -Objective Economic Dispatch Using Evolutionary Programming
title_full_unstemmed Multi -Objective Economic Dispatch Using Evolutionary Programming
title_sort multi -objective economic dispatch using evolutionary programming
publishDate 2023
_version_ 1806426326563815424
score 13.222552

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