Artificial Neural Network for Hybrid System Management of PV for Stand-Alone Applications

Abstract

Considered as the solar energy as a new and clean energy, has attracted much attention. But it remains problematic System management and energy storage are the biggest drawback.so This paper presents a novel intelligent energy management system, this management system depends on external data such as temperature and time, and uses an artificial neural network algorithm. For storage we suggested system consisted of fuel cell and battery, to avoid battery disadvantage and extend its lifetime, due to the high hydrogen efficiency. This study presents a noteworthy investigation into the residential application of a photovoltaic, battery, and fuel cell hybrid energy system. The focus on the distribution and storage of electrical energy for stand-alone applications highlights the potential of such systems in promoting energy independence and sustainability.