Abstract: In this article recently developed novel swarm intelligence optimization technique is proposed called dragonfly algorithm based on swarming behaviors of dragonflies to solve distributed generation placement and sizing problem on IEEE 33 bus test case. The location and size of DGs are the control parameters, in order to minimize the total active power losses and voltage deviation and tomaximize voltage stability margin, using multi-objective function as weighted sum of each objective in distribution network. Three cases are considered where a new objective function is introduced in each case and combined multi-objective problem is solved. The results of optimization problems are compared to that found in literature.
Keywords: Distributed Generation, Dragon fly algorithm, IEEE 33 bus test case.