The reliability of electrical systems is a matter of utmost importance in today s world, especially given the increasing uncertainty associated with the growing share of intermittent renewable sources. To assess the reliability of these systems, methodologies based on probabilistic models are used, allowing for the quantification of the uncertainties involved. A commonly employed approach is Monte Carlo simulation (MCS), which stands out for its robustness and flexibility, particularly in complex and large-scale electrical systems. This project presents SMC-based techniques that enable the estimation of generation reliability in electrical systems. By simulating multiple iterations and considering the inherent uncertainties in the system, it is possible to obtain reliable and accurate results that contribute to improving the operation and planning of these systems, which are essential for providing reliable and continuous electrical power supply.