Abstract:
The purpose of this paper is to present a model predictive control (MPC) approach for the periodic implementation of the optimal
solutions of two optimal dynamic dispatch problems with emission and transmission line losses. The first problem is the dynamic
economic emission dispatch (DEED)which is a multi-objective optimization problem which minimizes both fuel cost and pollutants
emission simultaneously under a set of constraints. The second one is the profit-based dynamic economic emission dispatch
(PBDEED) which is also a multi-objective optimization problem which maximizes the profit and minimizes the emission
simultaneously under a set of constraints. Both the demand and energy price are assumed to be periodic and the total transmission
loss is assumed to be a quadratic function of the generator power outputs.We assume that there are certain disturbances or uncertainties
in the execution of the optimal controller and in the forecasted demand. The convergence and robustness of the MPC
algorithm are demonstrated through the application of MPC to the DEED and PBDEED problems with five-unit and six-unit test
systems, respectively.
