Faults can occur in the electrical power system which will result in interruption of the power supply to consumers connected to these systems. An electric power utility should provide its customers with a service that is reliable and of good quality. Therefore, safe and efficient planning is necessary to obtain the reliability of the electrical system according to the requirements established by the regulatory agency of the sector. In case they are not observed by the electrical energy distributor, monetary penalties are possibly applied. The performance of a system can be observed based on the history of interruptions, through the continuity indicators. The low operational flexibility of substations, coupled with the network configurations, reduces the reliability of the systems causing monetary damage to companies and consumers, due to their vulnerability to interruptions of energy. The present study is essential because it aims to identify methods and analysis that detect the priority points for maintenance in the electric networks. In this way, the dissertation presents a methodology that identifies the equipment and sections associated to the critical points of greater impact in a distribution network. Thus, it is possible to direct the maintenance services of the circuits to the segments of greater impact in the indices of continuity of a certain region and to optimize the corresponding budget. The basic tool used to analyze the indices is a risk matrix, where the axes represent the probability of occurrence (recurrence) and company impact (continuity indices), in order to capture more precisely the points for priority maintenance actions. When the matrix structure is established, the identified risk factors are qualitatively assessed in terms of probability and impact, and positioned in the matrix, indicating their state: eminent, critical, high, medium, and low. Two real distribution systems of the 13.8 kV class are analyzed to demonstrate the ability of the proposed methodology to find the appropriate solutions from a technical and economic point of view. The results point to a reduction in continuity indicators, thus contributing to the effective management of the power electric system and mitigating the economic losses associated with power outages.