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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Main Author: Cemil Altin
Format: Article
Language:English
Published: Kaunas University of Technology 2023-08-01
Series:Elektronika ir Elektrotechnika
Subjects:
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.
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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