FLEXIBLE GENERATION MIX UNDER MULTIOBJECTIVES AND UNCERTAINTIES

This paper presents criteria for evaluating flexibility of a generatio n mix and develops an efficient computational algorithm for determinin g a flexible generation mix considering uncertainties in the power sys tem expansion planning. The flexible generation mix problem is formula ted as a multiobjective optimization problem and solved by the dynamic programming technique in which each type of generation plants is sele cted as a stage and generation capacity is selected as a state. The pr oposed method can treat easily not only the uncertainties but also man y constraints of generation planning such as integer solutions of gene ration capacities, reliability constraints, and so on. The effectivene ss and feasibility of the proposed method are demonstrated on a typica l power system model.