Yarramsetty, C.Sawant, S.Moger, T.Jena, D.2026-02-0620232023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2023, 2023, Vol., , p. -https://doi.org/10.1109/STPEC59253.2023.10430770https://idr.nitk.ac.in/handle/123456789/29301The depletion of fossil fuel supplies and global climate change are two major challenges with gasoline automobiles. This worry has resulted in rising interest in electric cars in recent years. Plug-in Hybrid Electric Vehicles (PHEVs) are becoming regarded as a viable alternative to petrol automobiles. PHEVs are powered by both petrol and electricity. However, widespread integration of PHEVs would significantly increase the strain on the power system, threatening the reliability of the current power supply. The evolution of a probabilistic model for a PHEV is described in this paper. PHEVs are designed with driving distance, charging periods, and battery state of charge in consideration. A sequential Monte Carlo simulation approach is presented as a method for determining the reliability of power systems that are integrated with PHEVs. IEEE RTS 79 is utilised in the experiments. This research evaluates well-known generation system reliability metrics. © 2023 IEEE.Generation system adequacyPlug-in Hybrid Electric VehiclesSequential Monte Carlo simulation