Solving the Economic Dispatch in Power System via a Modified Genetic Particle Swarm Optimization

To solve the economic dispatch problem (ED) in power system, this paper introduced the floating point representation to the genetic particle swarm optimization (GPSO). (GPSO) was derived from the standard particle swarm optimization (SPSO) and incorporated with the genetic reproduction mechanisms, namely crossover and mutation. A modified heuristic crossover was introduced, which was derived from the differential evolution and genetic algorithm along with the mechanism of GPSO. The proposed approach was implemented to four well-known benchmark functions, and typical parameter sets were given based on the simulation results. Moreover, MGPSO was employed to a practical system, and by comparison with the other PSO methods, MGPSO has provided better results.