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Título

Predicting the power grid frequency of European islands

AutorLund Onsaker, Thorbjørn; Nygård, Heidi S.; Gomila, Damià CSIC ORCID ; Colet, Pere CSIC ORCID ; Mikut, Ralf; Jumar, Richard; Maass, Heiko; Kühnapfel, Uwe; Hagenmeyer, Veit; Schäfer, Benjamin
Palabras claveTime series analysis
Europe
Forecasting
Frequency synchronisation
Machine learning
Power grid
Fecha de publicación6-mar-2023
EditorIOP Publishing
CitaciónJournal of Physics: Complexity 4(1): 015012 (2023)
ResumenModelling, forecasting and overall understanding of the dynamics of the power grid and its frequency are essential for the safe operation of existing and future power grids. Much previous research was focused on large continental areas, while small systems, such as islands are less well-studied. These natural island systems are ideal testing environments for microgrid proposals and artificially islanded grid operation. In the present paper, we utilise measurements of the power grid frequency obtained in European islands: the Faroe Islands, Ireland, the Balearic Islands and Iceland and investigate how their frequency can be predicted, compared to the Nordic power system, acting as a reference. The Balearic Islands are found to be particularly deterministic and easy to predict in contrast to hard-to-predict Iceland. Furthermore, we show that typically 2-4 weeks of data are needed to improve prediction performance beyond simple benchmarks.
Versión del editorhttps://doi.org/10.1088/2632-072X/acbd7f
URIhttp://hdl.handle.net/10261/352153
DOI10.1088/2632-072X/acbd7f
E-ISSN2632-072X
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