This master’s thesis addresses the problem of improving the reliability of radial distribution systems, which are commonly used due to their simplicity and lower investment cost. However, these circuits pose a challenge in terms of reliability, especially when there is no redundant connection available to mitigate power supply interruptions. This study conducts a reliability analysis on radial distribution circuits lacking redundant connections and evaluates the optimal placement of energy storage to enhance system reliability. The study is based on the electrical model of the radial circuit, synthetic simulation of demand behavior based on records, failure behavior of protective elements, geographical characteristics of the circuit, and energy storage cost. Probabilistic methods have been implemented to simulate potential operating scenarios, and a genetic optimization method is applied to evaluate these scenarios and determine the optimal location of the energy storage devices that improve SAIDI, SAIFI, and ENS considering geographical risk and investment cost.