Use of hybrid genetic algorithms for optimal reactive compensation design on large and unbalanced distribution networks

Optimal reactive compensation is the most viable, technical and economic solution to reduce longitudinal losses in distribution networks and improve voltage regulation; however, for extensive and unbalance distribution networks is necessary to use Hybrid Genetic Algorithms in order to model unbalance voltage and include the large number of possible terminals, reducing mathematical processes. In this analysis, we consider the operational scenarios of minimum, average and maximum demand, using unbalanced load flow and switchable capacitor banks.