Solving the Economic Dispatch in Power System by Genetic Particle Evolutionary Swarm Optimization

This paper introduced a genetic particle evolutionary swarm optimization (GPESO) for solving the economic dispatch (ED) in power systems. GPESO is based on the genetic particle swarm optimization (GPSO). GPSO was derived from the original particle swarm optimization (OPSO), which was incorporated with the genetic reproduction mechanisms, namely crossover and mutation. To enhance the search performance of GPSO, the differential evolution (DE) was incorporated to GPSO as a perturbation to fight premature convergence and poor diversity issues observed in GPSO implementations. Constraint handling was based on the stochastic ranking algorithm. GPESO was implemented to a 6 units system and the simulation results showed that GPESO outperformed other PSO algorithms.