Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS)

This study proposes a computational design method for determining a hybrid power system’s sizing and ratio values that combines the national electric, solar cell, and fuel cell power sources. The inequality constraints associated with the ranges of power storage exchange and the stored energy are re...

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Veröffentlicht in:	Energies (Basel) Jg. 15; H. 8; S. 2779
Hauptverfasser:	Kim, Jong-Wook, Ahn, Heungju, Seo, Hyeon Cheol, Lee, Sang Cheol
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2022
Schlagworte:	Algorithms Alternative energy sources combinatorial dynamic encoding algorithm for searches Energy resources Energy storage Fuel cells hybrid energy system Optimization power Power supply Renewable resources Solar energy Variables Wind power
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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