Security-Constrained Unit Commitment Considering Wind Generation Uncertainty

This paper presents a two-stage stochastic programming model for security-constrained unit commitment considering wind generation uncertainty and network security constraints. In this model, some possible scenarios are generated for describing wind generation uncertainty. Furthermore, a scenario reduction technology based on heuristic simultaneous backward reduction is applied to improve the computational efficiency. For the solution of this model, the linearization method is applied to transform this nonlinear optimization model into a deterministic and linear optimization model so that a mixed-integer linear program algorithm can be employed. Finally, numerical tests performed on a six-bus power system demonstrate the validity and effectiveness of the proposed model and optimization strategy.