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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Solar Energy
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1496070
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Energy is an important aspect of a country's long-term growth, and to meet the increasing electrical demand for reliable manure, there is an urge to plan for future generations. In this study, metaheuristic optimization approaches that have recently been constructed, which include the coati optimization algorithm and hippopotamus optimization, were applied to determine the perfect dimensions for a grid-independent composite renewable energy infrastructure. The optimization problem attempts to reduce the total annual cost of the system while maintaining the reliability of the loss of power supply probability in an acceptable range. Three combinations of hybrid energy systems were designed and optimized, and the optimization findings point out that the system consisting of a photovoltaic module, wind turbine, storage battery, and battery is the most cost-effective optimal energy system.
Keywords: optimization, Renewable Energy, HOMER (Hybrid Optimization of Multiple Energy Resources), artificial intelligence, sensitivity analysis
Received: 13 Sep 2024; Accepted: 30 Dec 2024.
Copyright: © 2024 . This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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