Reliability in power distribution is essential for maintaining a continuous and stable electricity supply, ensuring economic productivity, supporting critical infrastructure, and enhancing the overall quality of life. Several factors, such as diminishing fossil fuel supplies, rising demand, and environmental concerns, are contributing to the surge in the use of distributed generations (DGs) at the consumer end. Improving the distribution system's reliability may be as simple as adjusting the repair times and failure rates of individual sections. Properly locating and sizing DGs has a significant impact on reliability, as well as other aspects of distribution systems. The introduction of DGs into the distribution system also incurs a number of expenditures linked to investments, maintenance, operation, and so on. Because of the utilities’ and consumers’ perspectives on the costs and advantages of DG installations, the issue becomes a mixed-integer, non-linear programming problem. This chapter presents an analytical framework for assessing and enhancing the reliability of distribution networks that incorporate DG operating in standby mode. We optimized the distribution system's reliability by taking into account the repair time and failure rate of each segment, several energy-based reliability indices, and consumer requirements. The objective function takes into account the additional expense of DG's anticipated energy supply, as well as the cost of adjusting for repair intervals and failure rates. Transit search optimization (TSO) successfully resolved the optimization problem, and the described methodology was implemented in an 8-bus distribution system.