Modelo para o despacho de usinas individualizadas no planejamento hidrotérmico de médio prazo baseado em PNL

Abstract

NLP Based Model for Individual Plant Dispatch in Long Term Hydrothermal PlanningThis paper presents a method to the hydrothermal dispatch using optimization techniques based on non linear programming techniques. To do so, the expected cost-to-go functions from a long term operation plannning strategic decision model are used. This decision model is based on stochastic dual dynamic programming and energy equivalent reservoirs. The proposed method considers a set of historical water inflow scenarios to the hydroelectric reservoirs. Those scenarios are used to simulate the long term operation planning to a given horizon. The results obtained from this disaggregation model (MIUH) are compared with those from the model officially adopted in the Brazilian power system, SUISHI-O. The latter is based on operation heuristics aiming at operating the reservoir maintaining the water storage in similar levels, that is, trying to operate them in parallel.Artigo submetido em