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Partical Swarm Optimization (PSO) is one algorithm that aims to get a minimum or maximum function. This algorithm is based on the behavior of a flock of birds where between individuals influence each other in one group. In this study PSO will be implemented to overcome the problem of power flow at the plant. In this PSO algorithm, the search for solutions is carried out by a population consisting of several particles. The population is randomly generated with the smallest and largest value limitation. This population represents a generator in an electric power distribution system. The plant used in this study was IEEE 30 bus. In IEEE 30 bus there are 6 plants that must be optimized. The IEEE PSO implementation is able to produce 227 MW of power or around 70 MW lower (cheaper) than Newton Raphsons and Fast Decoupled power flow optimization method.