Artikel
Optimal Designing and Synthesis of a Hybrid PV/Fuel cell/Wind System using Meta-heuristics
In this paper, a multi-objective optimization method has been established on a hybrid PV, wind, fuel cell, and battery system. The optimization is based on three models including energy supply reliability, electricity efficiency, and capital cost of the hybrid system. A new model of the Elephant Herding Optimization (BEHO) Algorithm is utilized to solve the multi-objective optimization problem and is validated based on different algorithms and benchmark functions. The main purpose is to determine the Pareto surface including a set of possible design solutions to help the decision-makers obtaining the global optimum solution. The final results indicated that the proposed method is an applicable approach for designing of the proposed hybrid system.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Energy Reports ; ISSN: 2352-4847 ; Volume: 6 ; Year: 2020 ; Pages: 1353-1362 ; Amsterdam: Elsevier
- Classification
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Wirtschaft
- Subject
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Proton exchange membrane fuel cell
Lithium-ion battery
Elephant herding optimization algorithm
Hybrid system
Lévy flight
Wind
- Event
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Geistige Schöpfung
- (who)
-
Cao, Yan
Yao, Hui
Wang, Zhijie
Kittisak Jermsittiparsert
Yousefi, Nasser
- Event
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Veröffentlichung
- (who)
-
Elsevier
- (where)
-
Amsterdam
- (when)
-
2020
- DOI
-
doi:10.1016/j.egyr.2020.05.017
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
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Object type
- Artikel
Associated
- Cao, Yan
- Yao, Hui
- Wang, Zhijie
- Kittisak Jermsittiparsert
- Yousefi, Nasser
- Elsevier
Time of origin
- 2020
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