Maciel, Renan Silva [UNESP]Padilha-Feltrin, Antonio [UNESP]Rosa, Mauro Augusto daMiranda, VladimiroIEEE2020-12-102020-12-102011-01-012011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe). New York: Ieee, 6 p., 2011.2165-4816http://hdl.handle.net/11449/196138This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts.6engMulti-objective optimizationDistributed GenerationDistribution planningMulti-objective evolutionary particle swarm optimizationTrabalho apresentado em eventoWOS:000407001900176