The Model of Unit Commitment on Wind Power Accommodation Based on the Fuzzy Preferences Evolutionary Algorithm

Unit Commitment problem is a nonlinear mixed integer optimization problem used in the scheduling operation of power system generating units subjected to demand and reserve requirement constraints for achieving minimum operating cost. In this paper, multiple objectives are considered for capacity of wind power, the risk of lacking peak regulation capacity and lower operational cost. We propose a fuzzy preferences evolutionary which solves the unit commitment problem subjected to necessary constraints and gives the optimal commitment of the units. Based on the objectives evaluated by membership functions respectively, These objectives are modeled with fuzzy sets to evaluate their imprecise nature and one can provide the anticipated value of each objective. The model and algorithms are applied to calculate a case of 10 units. The results show that the proposed modeling method can provide a useful guidance for Unit Commitment problems.