@ARTICLE{Meliani_Meryem_A_2023,
 author={Meliani, Meryem and El Barkany, Abdellah and El Abbassi, Ikram and Absi, Rafik and Jeffali, Faouaz},
 volume={vol. 14},
 number={No 1},
 pages={127-136},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2023},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={This paper highlights the storage charging and discharging issue. The study objective is to manage the energy inputs and outputs of the principal grid at the same time in order to maximize profit while decreasing costs, as well as to ensure the availability of energy according to demand and the decisions to either save or search for energy. A fuzzy logic control model is applied in MATLAB Simulink to deal with the system’s uncertainties in scheduling the storage battery technology and the charging- discharging. The results proved that the fuzzy logic model has the potential to efficiently lower fluctuations and prolong the lifecycle.},
 type={Article},
 title={A Robust Control Strategy for Microgrid Energy Using Fuzzy Logic},
 URL={http://journals.pan.pl/Content/126926/PDF/c11_837_72_corr.pdf},
 doi={10.24425/mper.2023.145371},
 keywords={Energy control, renewable energy sources, Fuzzy logic system, microgrid, storage system, Smart grid},
}