Optimal Scheduled Unit Commitment Considering Wind Uncertainty Using Cuckoo Search Algorithm

In this paper, a new method to review the role of wind units as an energy-producer in the scheduling problem of unit commitment is presented. Today, renewable energy sources due to lack of environmental pollution, and consequently a very low marginal cost, have been receiving considerable attention in power system. But these sources are associated with uncertainty, solving unit commitment problem as a traditional power program system optimization that attempts to determine optimal entry and exit units and optimal production per unit minimizes the total cost of production. Then, in this study using an iterative algorithm randomly with allocation of density functions fits the wind speed, Uncertainty of production wind units has been modiled in the unit commitment program. Analysis of UC with wind power is performed in order to minimize total system cost. In this paper to achieve the optimum solution, a meta-heuristic Cuckoo search (CS) algorithm with high convergence speed is used to solve the unit commitment problem considering IEEE standard 10 unit test system. The simulations results show the effeciveness of the proposed method for reducing production costs and improving load profiles