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Renewable Power Forecast to Scheduling of Thermal Units

Abstract : In this work is discussed the importance of the renewable production forecast in an island environment. A probabilistic forecast based on kernel density estimators is proposed. The aggregation of these forecasts, allows the determination of thermal generation amount needed to schedule and operating a power grid of an island with high penetration of renewable generation. A case study based on electric system of S. Miguel Island is presented. The results show that the forecast techniques are an imperative tool help the grid management.
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Pedro Fonte, Bruno Santos, Cláudio Monteiro, João Catalão, Fernando Barbosa. Renewable Power Forecast to Scheduling of Thermal Units. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. pp.361-368, ⟨10.1007/978-3-642-54734-8_40⟩. ⟨hal-01274798⟩

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