Renewable power forecast to scheduling of thermal units

Fonte, Pedro M; Santos, Bruno; Monteiro, Cláudio; Catalão, João Paulo da Silva; Barbosa, Fernando Maciel

http://hdl.handle.net/10400.21/4891

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Authors

Fonte, Pedro M

Santos, Bruno

Monteiro, Cláudio

Catalão, João Paulo da Silva

Barbosa, Fernando Maciel

Abstract(s)

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.

Keywords

Probabilistic renewable power forecast Kernel density estimator Power scheduling

URI

http://hdl.handle.net/10400.21/4891

Citation

FONTE, Pedro Miguel Neves; [et al] – Renewable power forecast to scheduling of thermal units. In IFIP Advances in Information and Communication Technology. Berlin : Springer-Verlag Berlin, 2014. ISSN: 1868-4238. Vol. 423, p. 361-368.