Hybrid stochastic/deterministic unit commitment with wind power generation

This paper presents a hybrid stochastic and deterministic unit commitment (SDUC) algorithm which takes into account the variability of wind generation. The proposed scheme is modeled as a chance constrained optimization, where the system ramping capability, required to meet changes in demand and variable generation, is also considered. The dayahead predicted net load probability density function (PDF) is modeled including wind curtailment effect. The PDF is then used to define the chance-constraint. The proposed UC is then linearized to maintain the mixed-integer linear structure of the problem such that, it can be solved by highly efficient commercially available solvers. Numerical simulations indicate the effectiveness of the developed hybrid SDUC formulation, including high penetration of wind power, and underline the competitive features of the proposed solution approaches.