Chu-Beasley genetic algorithm applied to the allocation of distributed generation

This paper presents a methodology for efficient allocation of distributed generation units (DG), based on the genetic algorithm of Chu-Beasley. This algorithm presents good performance and obtains accurate solutions solving the allocation DG problem when used in distribution systems of small and medium size. The proposed methodology was compared with an exhaustive search algorithm. The results shown, that when increasing the complexity of the system the proposed algorithm becomes more advantages. This result is consistent, because the proposed algorithm does not need to examine all possible combinations of solution, thus obtaining the result so faster. The proposed methodology was applied on three distribution systems, containing 10, 34 and 70 bus, respectively. Scenarios were analyzed for the insertion of one or two units of DG in each system. As a main result, it was obtained the best locations for placement of DG units considering the minimization of real power losses, and consequently, voltage levels in each bar of the system were increased.