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Application of model predictive control to dynamic economic dispatch with emission
(Maltepe Üniversitesi, 2009) Elaiw, A. M.; Shehata, A. M.
The emission of gaseous pollutants including SO2, NOx, CO and CO2 from fossil-fueled electric power generating plants affects the human health directly or indirectly. Therefore, the controlling of pollution in power plants has received considerable attention in recent years. The amount of emission can be reduced by formulating dynamic economic emission dispatch (DEED) problem which is a multi-objective optimization problem, where both fuel cost and emission are simulta- neously minimized. The emission can also be controller by formulating an emission constrained dynamic economic dispatch (EDED) problem where the fuel cost is minimized while treating the emission as constraints. In [1] a model predictive con- trol (MPC) approach is proposed to the dynamic economic dispatch (DED) problem. It is proven that, the MPC approach provides solutions converging to the optimal solution of an extended version of the DED problem and the MPC algorithm is also robust under certain disturbances and uncertainties. In this paper we applied the MPC approach proposed in [1] to DEED and EDED problems. Two examples are presented consisting of five and ten units, to show the convergence and robustness of the MPC solutions.