Optimal Designing and Synthesis of a Hybrid PV/Fuel cell/Wind System using Meta-heuristics

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Veröffentlicht in:	Energy reports 6(2020) vom: Nov., Seite 1353-1362
Personen und Körperschaften:	Cao, Yan (VerfasserIn), Yao, Hui (VerfasserIn), Wang, Zhijie (VerfasserIn), Kittisak Jermsittiparsert (VerfasserIn), Yousefi, Nasser (VerfasserIn)
Titel:	Optimal Designing and Synthesis of a Hybrid PV/Fuel cell/Wind System using Meta-heuristics/ Yan Cao, Hui Yao, Zhijie Wang, Kittisak Jermsittiparsert, Nasser Yousefi
Format:	E-Book-Kapitel
Sprache:	Englisch
veröffentlicht:	2020
Gesamtaufnahme:	: Energy reports, 6(2020) vom: Nov., Seite 1353-1362 , volume:6
Schlagwörter:	Aufsatz in Zeitschrift
Quelle:	Verbunddaten SWB Lizenzfreie Online-Ressourcen

Details
Zusammenfassung:	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.
ISSN:	2352-4847
DOI:	10.1016/j.egyr.2020.05.017
Zugang:	Open Access