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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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/8/2779 |
| _version_ | 1827628965751160832 |
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| author | Jong-Wook Kim Heungju Ahn Hyeon Cheol Seo Sang Cheol Lee |
| author_facet | Jong-Wook Kim Heungju Ahn Hyeon Cheol Seo Sang Cheol Lee |
| author_sort | Jong-Wook Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T13:44:02Z |
| format | Article |
| id | doaj.art-3e194dbca602483f986d1a9dc68be506 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T13:44:02Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3e194dbca602483f986d1a9dc68be5062023-11-30T21:03:16ZengMDPI AGEnergies1996-10732022-04-01158277910.3390/en15082779Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS)Jong-Wook Kim0Heungju Ahn1Hyeon Cheol Seo2Sang Cheol Lee3Department of Electronic Engineering, Dong-A University, Busan 60471, KoreaSchool of Undergraduate Studies, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, KoreaDivision of Intelligent Robot, Convergence Research Institute, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, KoreaDivision of Intelligent Robot, Convergence Research Institute, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, KoreaThis 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.https://www.mdpi.com/1996-1073/15/8/2779hybrid energy systemcombinatorial dynamic encoding algorithm for searchespoweroptimization |
| spellingShingle | Jong-Wook Kim Heungju Ahn Hyeon Cheol Seo Sang Cheol Lee Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS) Energies hybrid energy system combinatorial dynamic encoding algorithm for searches power optimization |
| title | Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS) |
| title_full | Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS) |
| title_fullStr | Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS) |
| title_full_unstemmed | Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS) |
| title_short | Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS) |
| title_sort | optimization of solar fuel cell hybrid energy system using the combinatorial dynamic encoding algorithm for searches cdeas |
| topic | hybrid energy system combinatorial dynamic encoding algorithm for searches power optimization |
| url | https://www.mdpi.com/1996-1073/15/8/2779 |
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