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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Vydáno v:Energies (Basel) Ročník 15; číslo 8; s. 2779
Hlavní autoři: Kim, Jong-Wook, Ahn, Heungju, Seo, Hyeon Cheol, Lee, Sang Cheol
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.04.2022
Témata:
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
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Shrnutí: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 reflected as penalty functions in the overall cost function to be minimized. Using the energy hub model and the actual data for the solar cell power and the load of the residential sector in one Korean city for one hundred days, we optimize the ratio of fuel cell energy and solar cell energy to 0.46:0.54 through our proposed approach. We achieve an average cost-reduction effect of 19.35% compared to the cases in which the fuel-cell energy ratio is set from 0.1 to 0.9 in 0.1 steps. To optimize the sizing and the ratio of fuel-cell energy in the hybrid power system, we propose the modified version of the univariate dynamic encoding algorithm for searches (uDEAS) as a novel optimization method. The proposed novel approaches can be applied directly to any place to optimize an energy hub system model comprising three power sources, i.e., solar power, fuel cell, and power utility.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1996-1073
1996-1073
DOI:10.3390/en15082779