Residual load probabilistic forecast for reserve assessment: A real case study

Marco Pierro, Matteo De Felice, Enrico Maggioni, David Moser, Alessandro Perotto, Francesco Spada and Cristina Cornaro

Renewable Energy, 2020, vol. 149, issue C, 508-522

Abstract: Distributed generation from wind and solar acts on regional electric demand as a reduced consumption, giving rise to a “load shadowing effect”. The net load becomes much more difficult to predict due to its dependence on the meteorological conditions. As a consequence, the growing penetration of variable generation increases the imbalance between demand and scheduled supply (net load forecast) and the reserve margins (net load uncertainty).

Keywords: Photovoltaic penetration; Probabilistic power forecast of PV generation and net load; Reserve assessment (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:149:y:2020:i:c:p:508-522

DOI: 10.1016/j.renene.2019.12.056

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