Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization
This study aims to optimize an isolated solar-wind-diesel microgrid to reduce reliance on diesel generators, lower operational costs, and mitigate environmental pollution in remote areas. In this optimization, arithmetic optimization algorithm and golden jackal optimization are combined for achievin...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Energy and AI |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546825000011 |
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| author | Sujoy Barua Adel Merabet Ahmed Al-Durra Tarek El Fouly Ehab F. El-Saadany |
| author_facet | Sujoy Barua Adel Merabet Ahmed Al-Durra Tarek El Fouly Ehab F. El-Saadany |
| author_sort | Sujoy Barua |
| collection | DOAJ |
| description | This study aims to optimize an isolated solar-wind-diesel microgrid to reduce reliance on diesel generators, lower operational costs, and mitigate environmental pollution in remote areas. In this optimization, arithmetic optimization algorithm and golden jackal optimization are combined for achieving optimal capacity planning, considering economic and emission dispatch factors. This combination enhances the optimization by considering the balance in exploration and exploitation offered by the arithmetic operators of the arithmetic optimization algorithm and the dynamic adjustment by the adaptive search of the golden jackal optimization. Performance analysis is conducted by simulating and comparing three scenarios of only diesel generators, solar-wind-diesel and solar-wind with low number of diesel generators. The results demonstrate significant cost savings using the solar-wind-diesel microgrid under the proposed combined optimization compared to the arithmetic optimization algorithm and golden jackal algorithm and conventional metaheuristic optimization based on genetic algorithms. |
| format | Article |
| id | doaj-art-1fa2393075d242efb3b614c39c4b4c9b |
| institution | Kabale University |
| issn | 2666-5468 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy and AI |
| spelling | doaj-art-1fa2393075d242efb3b614c39c4b4c9b2025-01-27T04:22:22ZengElsevierEnergy and AI2666-54682025-01-0119100469Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimizationSujoy Barua0Adel Merabet1Ahmed Al-Durra2Tarek El Fouly3Ehab F. El-Saadany4Division of Engineering, Saint Mary's University, Halifax, NS, CanadaDivision of Engineering, Saint Mary's University, Halifax, NS, Canada; Advanced Power and Energy Center, Department of Electrical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates; Corresponding author.Advanced Power and Energy Center, Department of Electrical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesAdvanced Power and Energy Center, Department of Electrical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesAdvanced Power and Energy Center, Department of Electrical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesThis study aims to optimize an isolated solar-wind-diesel microgrid to reduce reliance on diesel generators, lower operational costs, and mitigate environmental pollution in remote areas. In this optimization, arithmetic optimization algorithm and golden jackal optimization are combined for achieving optimal capacity planning, considering economic and emission dispatch factors. This combination enhances the optimization by considering the balance in exploration and exploitation offered by the arithmetic operators of the arithmetic optimization algorithm and the dynamic adjustment by the adaptive search of the golden jackal optimization. Performance analysis is conducted by simulating and comparing three scenarios of only diesel generators, solar-wind-diesel and solar-wind with low number of diesel generators. The results demonstrate significant cost savings using the solar-wind-diesel microgrid under the proposed combined optimization compared to the arithmetic optimization algorithm and golden jackal algorithm and conventional metaheuristic optimization based on genetic algorithms.http://www.sciencedirect.com/science/article/pii/S2666546825000011Economic emission dispatchCapacity planningOperational costGolden jackalArithmeticOptimization |
| spellingShingle | Sujoy Barua Adel Merabet Ahmed Al-Durra Tarek El Fouly Ehab F. El-Saadany Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization Energy and AI Economic emission dispatch Capacity planning Operational cost Golden jackal Arithmetic Optimization |
| title | Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization |
| title_full | Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization |
| title_fullStr | Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization |
| title_full_unstemmed | Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization |
| title_short | Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization |
| title_sort | optimal capacity planning with economic emission considerations in isolated solar wind diesel microgrid using combined arithmetic golden jackal optimization |
| topic | Economic emission dispatch Capacity planning Operational cost Golden jackal Arithmetic Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2666546825000011 |
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