Genetic algorithm variant based effective solutions for economic dispatch problems

Economic dispatch (ED) is a nonconvex, nonlinear and nondifferentiable optimization problem in power systems to improve the cost effectiveness of power generation. In order to solve the complex ED problem with prohibited operating zones (POZ), valve point effect (VPE), multi-fuel options (MFO), and transmission line losses, genetic algorithm (GA) variant based methods are proposed. In particular, the proposed GA variants are beeder GA (BGA), fast navigating GA (FNGA), twin removal GA (TRGA), kite GA (KGA), and united GA (UGA). Three benchmark test systems having 6-units, 10-units, and 15-units are used to study the efficacy of the proposed algorithms for solving the ED problem. The simulation results show how each GA method performs for each case study, and which of the variants outperform other algorithms presented in recent literature.