The significant increase in small generation plants, driven by the privatization of the electricity supply market and technological advances, presents challenges in terms of their access to the transmission system. In some regions, the increasing deployment of power plants creates queues for access to the grid, potentially resulting in a transmission margin shortage. This is characterized by the saturation of power flow in geographical areas with high potential for renewable sources (such as wind and solar), negatively impacting the planning and operation of the transmission system. This Master s Thesis proposes a probabilistic approach to assessing the risks associated with the entry of new generators, especially wind and photovoltaic sources. The use of probabilistic power flow, through Monte Carlo simulation, extends the capabilities of the deterministic method, providing a better representation of the inherent intermittency of variable renewable sources and possible equipment contingencies. The studies carried out on the IEEE RTS 79 - 24-bus test system, considering the incorporation of renewable power plants, allow us to understand the importance of the probabilistic method in providing decision-makers with more representative information. The proposal to reformulate the access process, adapting calculation methods to reflect the complexity of the current energy generation scenario, emerges as a promising way of making efficient use of the transmission system, especially given the growing presence of renewable sources.