Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm

Renewable energy sources are playing a more active essential part in electrical energy systems in the present and future as a source of energy and an expansion of grid supply. Solar and wind energy are the two sources with the greatest potential for global availability. Wind and solar energy have be...

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Autores principales:	Shaik Karimulla, K. Ravi
Formato:	article
Lenguaje:	EN
Publicado:	Tamkang University Press 2021
Materias:	solar energy wind energy battery storage system and fire-fly algorithm (ffa) Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
Acceso en línea:	https://doaj.org/article/d2f0f21f27bd4cfeb03c93ec79a857df
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spelling	oai:doaj.org-article:d2f0f21f27bd4cfeb03c93ec79a857df2021-11-24T13:46:30ZMinimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm10.6180/jase.202206_25(3).00012708-99672708-9975https://doaj.org/article/d2f0f21f27bd4cfeb03c93ec79a857df2021-11-01T00:00:00Zhttp://jase.tku.edu.tw/articles/jase-202206-25-3-0001https://doaj.org/toc/2708-9967https://doaj.org/toc/2708-9975Renewable energy sources are playing a more active essential part in electrical energy systems in the present and future as a source of energy and an expansion of grid supply. Solar and wind energy are the two sources with the greatest potential for global availability. Wind and solar energy have been investigated with the assistance of a battery energy storage device. The consideration of renewable energy sources is due to free of cost and more available in nature. This system will meet load demand using renewable energy sources. The Firefly Algorithm (FFA) is used in this research to minimize energy costs while meeting load demand. The sufficiency of FFA is linked with other metaheuristic methods in connection to performing estimation files, which remain to reduce the cost of energy and to increase the potential power supply. This method considers three different load profiles per year as autumn, winter, and summer seasons, with hourly load-based data used to demonstrate the differences between the three seasons. The results are carried out by using the HOMER (Hybrid Optimization of Multiple Energy Resources) software and MATLAB software. The results show the FFA has better performance than GA, PSO, and IPSO algorithm methods and it shows the comparison for minimization of the cost of energy. Hence, the proposed method shows it is best for the minimization of cost with renewable energy sources.Shaik KarimullaK. RaviTamkang University Pressarticlesolar energywind energybattery storage system and fire-fly algorithm (ffa)Engineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156PhysicsQC1-999ENJournal of Applied Science and Engineering, Vol 25, Iss 3, Pp 361-370 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	solar energy wind energy battery storage system and fire-fly algorithm (ffa) Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
spellingShingle	solar energy wind energy battery storage system and fire-fly algorithm (ffa) Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999 Shaik Karimulla K. Ravi Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm
description	Renewable energy sources are playing a more active essential part in electrical energy systems in the present and future as a source of energy and an expansion of grid supply. Solar and wind energy are the two sources with the greatest potential for global availability. Wind and solar energy have been investigated with the assistance of a battery energy storage device. The consideration of renewable energy sources is due to free of cost and more available in nature. This system will meet load demand using renewable energy sources. The Firefly Algorithm (FFA) is used in this research to minimize energy costs while meeting load demand. The sufficiency of FFA is linked with other metaheuristic methods in connection to performing estimation files, which remain to reduce the cost of energy and to increase the potential power supply. This method considers three different load profiles per year as autumn, winter, and summer seasons, with hourly load-based data used to demonstrate the differences between the three seasons. The results are carried out by using the HOMER (Hybrid Optimization of Multiple Energy Resources) software and MATLAB software. The results show the FFA has better performance than GA, PSO, and IPSO algorithm methods and it shows the comparison for minimization of the cost of energy. Hence, the proposed method shows it is best for the minimization of cost with renewable energy sources.
format	article
author	Shaik Karimulla K. Ravi
author_facet	Shaik Karimulla K. Ravi
author_sort	Shaik Karimulla
title	Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm
title_short	Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm
title_full	Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm
title_fullStr	Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm
title_full_unstemmed	Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm
title_sort	minimization of cost of energy with renewable energy sources by using fire-fly algorithm
publisher	Tamkang University Press
publishDate	2021
url	https://doaj.org/article/d2f0f21f27bd4cfeb03c93ec79a857df
work_keys_str_mv	AT shaikkarimulla minimizationofcostofenergywithrenewableenergysourcesbyusingfireflyalgorithm AT kravi minimizationofcostofenergywithrenewableenergysourcesbyusingfireflyalgorithm
_version_	1718415077879578624

Minimization of Cost of Energy with Renewable Energy Sources by using Fire-Fly Algorithm

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