The high insertion of generation variable renewable energy sources (ERV) has created a demand for reinforcements and expansions of the existing transmission system, which brings high costs of deployment and operation of new network equipment. In this context, the process of calculating transmission system usage rates gains prominence since it can integrate transmission planning with generation and provide locational economic signaling to generators, revealing the actual costs of implementing generators from the system s point of view. However, the tariff processes currently employed in most countries do not promote this signaling properly, essentially because they do not consider the network s intrinsic characteristics and its planning. This is the case in Brazil that applies a tariff process that promotes small and distorted localist economic signaling. Most studies on the subject have focused on the algorithms of cost allocation applied in tariff processes in search of the solution to this problem. However, few mention that a system operation scenario must be formulated to serve as a reference for the tariff calculation prior to cost allocation. Thus, this dissertation aims to develop a tariff process focused on the construction and selection of multiple operating scenarios, adhering to the reliability levels used in planning and the sources seasonality as a reference for cost allocation based on the use of the system. This approach intends to embed greater efficiency and justice to the tariff calculation, promoting the enhancement of locational signaling. This proposed procedure will be evaluated in terms of desired properties and feasibility in large systems in a case study developed with the Brazilian system. The case study results will be compared with applying the methodology proposed by ANEEL in public consultation 39/2021.