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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Main Authors: Sujoy Barua, Adel Merabet, Ahmed Al-Durra, Tarek El Fouly, Ehab F. El-Saadany
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Energy and AI
Subjects:
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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