The service restoration is a multi-objective optimization problem that considers maximization of served critical load while minimizes the required configuration maneuvers within the distribution system (DS). This paper proposes a hybrid optimization-based algorithm based on metaheuristic and real-time simulation techniques to leverage renewable resources in the service restoration tasks. A respective validation is carried out using a Colombian DS serving half a million consumers in one of the main cities in the Andean region. Detailed models for automatization devices, photovoltaic (PV), and two small scale hydro-power plants (SHP) have been included in the studied DS use case. Obtained results show the effectiveness of the proposed algorithm as the times execution in each case and dependence on Renewable Energy Resources (RER). Also, during the restoration process, steady state conditions were being maintained to guarantee a safe and secure operation of DS assets.