Effects of wind penetration in the scheduling of a hydro-dominant power system

A computational model that is able to determine the optimal economic generation scheduling considering decisions in a system with hydro, thermal and wind power plants is presented. The algorithm is based on the class of sampling-based decomposition algorithms used to solve large-scale multi-stage stochastic optimization problems. A case study composed by several simulation runs of the model is presented and the results about wind power effects in the scheduling of power generators are discussed.