2023
DOI: 10.1016/j.prime.2023.100140
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A comparative analysis of the performance of multiple meta-heuristic algorithms in sizing hybrid energy systems connected to an unreliable grid

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Cited by 5 publications
(3 citation statements)
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References 29 publications
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“…Effat et al [11] used SRTM digital elevation and spatial solar and wind speed data to model the potential solar and wind energy zones in Egypt. Furthermore, Adetoro et al [12] conducted a comparative analysis of hybrid system operational efficiency in Nigeria, using a multi-meta-heuristic approach to optimize sizing and levelized cost of energy (LCOE). Their study involved evaluating various algorithms to determine the most effective combination of components, including PV, WT, BG, and DG.…”
Section: Optimal Configurations and Site Selection Approachesmentioning
confidence: 99%
“…Effat et al [11] used SRTM digital elevation and spatial solar and wind speed data to model the potential solar and wind energy zones in Egypt. Furthermore, Adetoro et al [12] conducted a comparative analysis of hybrid system operational efficiency in Nigeria, using a multi-meta-heuristic approach to optimize sizing and levelized cost of energy (LCOE). Their study involved evaluating various algorithms to determine the most effective combination of components, including PV, WT, BG, and DG.…”
Section: Optimal Configurations and Site Selection Approachesmentioning
confidence: 99%
“…LF strategy has been identified to be cost-effective in locations with high renewable energy potential, while CC strategy has mostly shown to be suitable in areas with limited renewable resources. Furthermore, it was observed from our review of the literature that the dispatch approach adopted in most grid-connected hybrid renewable energy systems (HRESs) that the grid acts as a reliable backup capable of delivering or absorbing surplus energy [47][48][49][50][51].…”
Section: Dispatch Control Strategiesmentioning
confidence: 99%
“…Emissions have a very negative impact on the environment and result from fuel consumption (Marneni, et al 2015;Shakya et al 2022;Ali et al 2023;Adetoro et al 2023;Diab et al 2016). Carbon emission quantity is considered about 99.5% of CO2 emission of the total exhaust of fuel carbon.…”
Section: Characteristics Of the Best Configurationmentioning
confidence: 99%