In this paper, the nonlinear constrained multiobjective environmental economic dispatch (EED) problem is solved using fast multi-objective evolutionary programming (FMOEP). Due to the global warming by fossil fuel, environmental concern becomes more and more important in recent years. The purpose of multi-objective optimization algorithm is minimizing all the different objectives simultaneously and finds the best tradeoff solution for this environmental/economic dispatch problem. In order to evaluate the performance of FMOEP on EED problems, the standard IEEE 30-bus six-generator test system is studied. The performance is compared against NSGAII and a number of results reported in literature. The results show that the FMOEP is effective in solving EED problems.
B. - Y. Qu, Suganthan, P. N., Dr. V. Ravikumar Pandi, and Panigrahi, B. K., “Multi Objective Evolutionary Programming to Solve Environmental Economic Dispatch Problem”, 11th Int. Conf. Control, Automation, Robotics and Vision, Singapore. 2010.