Economic environmental dispatch of fixed head hydrothermal power systems using nondominated sorting genetic algorithm-II

Authors:
M. Basu
Affiliations:
Department of Power Engineering, Jadavpur University, Block LB, Sector-3, Salt Lake City, Kolkata, West Bengal 700098, India
Venue:
Applied Soft Computing
Year:
2011

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Abstract

This paper presents nondominated sorting genetic algorithm-II for economic environmental dispatch of fixed head hydrothermal power systems. The problem is formulated as a nonlinear constrained multiobjective optimization problem. Nondominated sorting genetic algorithm-II is proposed to handle economic environmental dispatch of fixed head hydrothermal power systems as a true multiobjective optimization problem with competing and noncommensurable objectives. Numerical results of two test systems demonstrate the capabilities of the proposed approach. Results obtained from the proposed approach have been compared with those obtained from strength pareto evolutionary algorithm 2, multiobjective differential evolution and previously obtained results.