Energy management based on a fuzzy controller of a photovoltaic/fuel cell/Li-ion battery/supercapacitor for unpredictable, fluctuating, high-dynamic three-phase AC load




energy management strategy, fuzzy logic control, hybrid renewable energy source


Introduction. Nowadays, environmental pollution becomes an urgent issue that undoubtedly influences the health of humans and other creatures living in the world. The growth of hydrogen energy increased 97.3 % and was forecast to remain the world’s largest source of green energy. It can be seen that hydrogen is one of the essential elements in the energy structure as well as has great potential to be widely used in the 21st century. Purpose. This paper aims to propose an energy management strategy based a fuzzy logic control, which includes a hybrid renewable energy sources system dedicated to the power supply of a three-phase AC variable load (unpredictable high dynamic). Photovoltaic (PV), fuel cell (FC), Li-ion battery, and supercapacitor (SC) are the four sources that make up the renewable hybrid power system; all these sources are coupled in the DC-link bus. Unlike usual the SC was connected to the DC-link bus directly in this research work in order to ensure the dominant advantage which is a speedy response during load fast change and loads transient. Novelty. The power sources (PV/FC/Battery/SC) are coordinated based on their dynamics in order to keep the DC voltage around its reference. Among the main goals achieved by the fuzzy control strategy in this work are to reduce hydrogen consumption and increase battery lifetime. Methods. This is done by controlling the FC current and by state of charge (SOC) of the battery and SC. To verify the fuzzy control strategy, the simulation was carried out with the same system and compared with the management flowchart strategy. The results obtained confirmed that the hydrogen consumption decreased to 26.5 g and the SOC for the battery was around 62.2-65 and this proves the desired goal.

Author Biographies

Y. Ayat, University of Ferhat Abbas Setif 1

PhD, Automatic Laboratory of Setif, Electrical Engineering Department

A. E. Badoud, University of Ferhat Abbas Setif 1

Professor, Automatic Laboratory of Setif, Electrical Engineering Department

S. Mekhilef, Swinburne University of Technology

Professor, School of Software and Electrical Engineering, Department of Telecommunications, Electrical, Robotics and Biomedical Engineering

S. Gassab, University of Ferhat Abbas Setif 1

Doctor of Electrical Engineering, Automatic Laboratory of Setif, Electrical Engineering Department


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How to Cite

Ayat, Y., Badoud, A. E., Mekhilef, S., & Gassab, S. (2023). Energy management based on a fuzzy controller of a photovoltaic/fuel cell/Li-ion battery/supercapacitor for unpredictable, fluctuating, high-dynamic three-phase AC load. Electrical Engineering & Electromechanics, (3), 66–75.



Power Stations, Grids and Systems