improving reliability of active distribution networks using probabilistic assessment of renewable resource units

Today, with the growth of the population and increasing trend in the use of electrical energy, the importance of the reliability and stability of the power grid has increased. the ever-increasing development of the power grid and subsequent blackouts of the power grid can lead to serious problems in the daily life and economy of a country. in addition to economic damages, power losses in the power network can lead to dissatisfaction and decreased consumer confidence in the power grid. this research has been carried out to check the application of the genetic algorithm to calculate reliability indices including saifi, saidi, etc., and its impact on enhancing the reliability of the standard ieee 33 and 69 bus distribution networks. additionally, this study explores the ga effectiveness in minimizing both active and reactive power losses. the simulation results in matlab, show the constructive effect of applying the ga, shedding light on its potential to optimize the distribution network reliability and minimize power losses, offering valuable insights for power system optimization and reliability improvement.