Alsharif, A.Ahmed, A.A.Khaleel, M.M.Alarga, A.S.D.Jomah, O.S.M.Alrashed, A.B.E.2024-09-292024-09-292023979-835031989-7https://doi.org/10.1109/MI-STA57575.2023.10169210https://hdl.handle.net/20.500.14619/9311et al.; Fannak; IEEE; Libyan International Medical Univeristy (LIMU); Open University Libya; University of Benghazi3rd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2023 -- 21 May 2023 through 23 May 2023 -- Benghazi -- 190537Electric Vehicles (EVs) as hotspot research are increasingly being used as alternative energy sources outside of transportation due to global variables like energy usage and environmental concerns. Gridable Electric Vehicle (GEV) is exploiting the opportunity for connecting EVs to the grid. EVs are now capable of contributing to addressing power limitations and acting as a reserve source of energy for the distribution grid in the Electric Vehicle Charging Facility (EVCF) to form Vehicle-to-Home (V2H). This paper is introduced to estimate impacts on the load for the uncertain behavior of EVs under domestic load after being sized using algorithms. Although, the integration of EVs provides an economical and environmental solution with a positive impact, however, it affects the power system when the uncertain number of EVs is provided as heavy duty. Sensitivity analysis has been considered in the study to investigate the expected changes in the system from the affected components. © 2023 IEEE.eninfo:eu-repo/semantics/closedAccessEVEVCFGEVLibyaREFV2XConference Object10.1109/MI-STA57575.2023.101692102-s2.0-85166304594787N/A783