Hybrid stochastic and robust optimization of a hybrid system with fuel cell for building electrification using an improved arithmetic optimization algorithm

Abstract This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse...

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Detalhes bibliográficos

Principais autores:	Fude Duan, Mahdiyeh Eslami, Mustafa Okati, Dheyaa J. Jasim, Arsalan Khadim Mahmood
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-01-01
coleção:	Scientific Reports
Assuntos:	Hybrid energy system Hybrid stochastic-robust sizing Information gap decision theory Risk-averse strategy Improved arithmetic optimization algorithm
Acesso em linha:	https://doi.org/10.1038/s41598-025-86074-z
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