Publication Type:

Conference Proceedings

Source:

11th Int. Conf. Control, Automation, Robotics and Vision, Singapore (2010)

URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5707926

Keywords:

constraint handling method, environmental/Economic dispatch, evolutionary programming, Multi objective optimization

Abstract:

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.

Cite this Research Publication

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.

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