Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design
In this study, an optimisation tool that uses the differential evolution algorithm with a special distribution strategy is designed for the first time to be used in the optimisation of hybrid renewable energy systems. The developed tool and the hybrid optimisation model for multiple energy resources...
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Format: | Article |
Language: | English |
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Kaunas University of Technology
2023-08-01
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Series: | Elektronika ir Elektrotechnika |
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Online Access: | https://eejournal.ktu.lt/index.php/elt/article/view/33872 |
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author | Cemil Altin |
author_facet | Cemil Altin |
author_sort | Cemil Altin |
collection | DOAJ |
description | In this study, an optimisation tool that uses the differential evolution algorithm with a special distribution strategy is designed for the first time to be used in the optimisation of hybrid renewable energy systems. The developed tool and the hybrid optimisation model for multiple energy resources (HOMER) optimisation programme were compared. The tool is much faster than the HOMER programme and can produce almost the same results as HOMER. In addition, a heuristic-based optimisation technique was used for the first time to generate extremely comprehensive findings. The capacity shortage parameter, which is not used much in the literature, is used as a reliability parameter. The cost of energy (COE) was used as the cost function. The results are promising for detailed optimisation studies in this area. |
first_indexed | 2024-03-11T05:45:13Z |
format | Article |
id | doaj.art-def54d0411374ee7b64eed43c554a11f |
institution | Directory Open Access Journal |
issn | 1392-1215 2029-5731 |
language | English |
last_indexed | 2024-03-11T05:45:13Z |
publishDate | 2023-08-01 |
publisher | Kaunas University of Technology |
record_format | Article |
series | Elektronika ir Elektrotechnika |
spelling | doaj.art-def54d0411374ee7b64eed43c554a11f2023-11-17T15:02:10ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312023-08-01294445310.5755/j02.eie.3387239126Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool DesignCemil Altin0Department of Electrical and Electronics Engineering, Yozgat Bozok University, Merkez/Yozgat, TurkeyIn this study, an optimisation tool that uses the differential evolution algorithm with a special distribution strategy is designed for the first time to be used in the optimisation of hybrid renewable energy systems. The developed tool and the hybrid optimisation model for multiple energy resources (HOMER) optimisation programme were compared. The tool is much faster than the HOMER programme and can produce almost the same results as HOMER. In addition, a heuristic-based optimisation technique was used for the first time to generate extremely comprehensive findings. The capacity shortage parameter, which is not used much in the literature, is used as a reliability parameter. The cost of energy (COE) was used as the cost function. The results are promising for detailed optimisation studies in this area.https://eejournal.ktu.lt/index.php/elt/article/view/33872differential evolutionhomerhybridoptimisation |
spellingShingle | Cemil Altin Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design Elektronika ir Elektrotechnika differential evolution homer hybrid optimisation |
title | Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design |
title_full | Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design |
title_fullStr | Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design |
title_full_unstemmed | Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design |
title_short | Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design |
title_sort | differential evolution algorithm based very fast renewable energy system optimisation tool design |
topic | differential evolution homer hybrid optimisation |
url | https://eejournal.ktu.lt/index.php/elt/article/view/33872 |
work_keys_str_mv | AT cemilaltin differentialevolutionalgorithmbasedveryfastrenewableenergysystemoptimisationtooldesign |