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Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system

The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies in the task of choosing the most optimum solution while simultaneously considering techno-economic objectives. Consequently, this study provides a distinctive amalgamation of multi-objective multi-perspectiv...

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Main Authors:	Ridha H.M., Hizam H., Basil N., Mirjalili S., Othman M.L., Ya'acob M.E., Ahmadipour M.
Other Authors:	59513348300
Format:	Article
Published:	Elsevier Ltd 2025
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spelling	my.uniten.dspace-367032025-03-03T15:44:02Z Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system Ridha H.M. Hizam H. Basil N. Mirjalili S. Othman M.L. Ya'acob M.E. Ahmadipour M. 59513348300 8559012500 57748493300 51461922300 55153333400 55935694000 57203964708 The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies in the task of choosing the most optimum solution while simultaneously considering techno-economic objectives. Consequently, this study provides a distinctive amalgamation of multi-objective multi-perspective and group multi-criteria decision-making methodologies to ascertain collections of Pareto optimum configurations and to weight, rank, and pick up the most desirable optimum solutions that represent best trade-off between conflicting objectives. In this paper, the multi-objective Dragon fly algorithm is developed based on mutation scheme and crossover tactic algorithm is advanced to handle a lack of diversity and poor convergence, while non-dominated sorting and crowding distance strategy is addressed to store the best found optimum solutions in the achieve. Loss of load probability, excess energy, and life cycle cost are conflicting techno-economic objectives solved by multi-objective method. The optimum Pareto front solutions are ranked based on hybrid multi-criteria decision-making method for determining the most favorable solution for the WT/PV/BS system. The experimental outcomes indicated that the developed approach has a distinct performance in constructing a collection of Pareto front solutions in terms of diversity, converge, and convergence. Moreover, it demonstrates outstanding results when compared to well-organized multi-objective optimization methods. The future direction can be accomplished by applying the proposed hybrid sizing methodology for solving gird-connected system along with electric vehicle based on techno-economic scenarios. ? 2024 Elsevier Ltd Final 2025-03-03T07:44:02Z 2025-03-03T07:44:02Z 2024 Article 10.1016/j.renene.2024.120041 2-s2.0-85184586857 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184586857&doi=10.1016%2fj.renene.2024.120041&partnerID=40&md5=a46953c7ee1e5e6a270d6e6277462439 https://irepository.uniten.edu.my/handle/123456789/36703 223 120041 Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies in the task of choosing the most optimum solution while simultaneously considering techno-economic objectives. Consequently, this study provides a distinctive amalgamation of multi-objective multi-perspective and group multi-criteria decision-making methodologies to ascertain collections of Pareto optimum configurations and to weight, rank, and pick up the most desirable optimum solutions that represent best trade-off between conflicting objectives. In this paper, the multi-objective Dragon fly algorithm is developed based on mutation scheme and crossover tactic algorithm is advanced to handle a lack of diversity and poor convergence, while non-dominated sorting and crowding distance strategy is addressed to store the best found optimum solutions in the achieve. Loss of load probability, excess energy, and life cycle cost are conflicting techno-economic objectives solved by multi-objective method. The optimum Pareto front solutions are ranked based on hybrid multi-criteria decision-making method for determining the most favorable solution for the WT/PV/BS system. The experimental outcomes indicated that the developed approach has a distinct performance in constructing a collection of Pareto front solutions in terms of diversity, converge, and convergence. Moreover, it demonstrates outstanding results when compared to well-organized multi-objective optimization methods. The future direction can be accomplished by applying the proposed hybrid sizing methodology for solving gird-connected system along with electric vehicle based on techno-economic scenarios. ? 2024 Elsevier Ltd
author2	59513348300
author_facet	59513348300 Ridha H.M. Hizam H. Basil N. Mirjalili S. Othman M.L. Ya'acob M.E. Ahmadipour M.
format	Article
author	Ridha H.M. Hizam H. Basil N. Mirjalili S. Othman M.L. Ya'acob M.E. Ahmadipour M.
spellingShingle	Ridha H.M. Hizam H. Basil N. Mirjalili S. Othman M.L. Ya'acob M.E. Ahmadipour M. Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
author_sort	Ridha H.M.
title	Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
title_short	Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
title_full	Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
title_fullStr	Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
title_full_unstemmed	Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
title_sort	multi-objective and multi-criteria decision making for technoeconomic optimum design of hybrid standalone renewable energy system
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816243562610688
score	13.244413

Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system

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