Robust Model for Network-constraint Hydro-thermal-wind Operation Planning Considering Uncertainties
Hydro-thermal-wind operation planning comprises a set of operational decisions made in an environment of uncertainty. The power demand and power generation are uncertain, mainly the hydro and wind power plants due to their dependence on natural factors. Robust optimization in planning under uncertainty has proven to be a very efficient technique, including the operation planning of electrical power systems. Thus, in this paper is proposed a computational model based on robust optimization to perform hydro-thermal-wind operation planning considering the uncertainties related to hydro and wind generation, besides the demand. The proposed model is verified through two test systems: one with two nodes and another one considering the southern Brazilian subsystem (33 nodes). Several study scenarios are simulated, indicating that the proposed formulation, when compared to the deterministic approach, presents a relatively low cost and a low risk of energy deficit.