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...

Полное описание

Библиографические подробности

Главные авторы:	Fude Duan, Mahdiyeh Eslami, Mustafa Okati, Dheyaa J. Jasim, Arsalan Khadim Mahmood
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-01-01
Серии:	Scientific Reports
Предметы:	Hybrid energy system Hybrid stochastic-robust sizing Information gap decision theory Risk-averse strategy Improved arithmetic optimization algorithm
Online-ссылка:	https://doi.org/10.1038/s41598-025-86074-z
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!