EU PVSEC Programme Online
EU PVSEC 2019, 9 - 13 September 2019, Marseille
Presentation: 5AO.8.4 Using Satellite Data for Intraday Solar Energy Forecasts: Benchmarks of Two Cloud Trajectory Retrieval Techniques
Type: Oral
Date: Monday, 22nd September 2014
15:15 - 16:45
Location / Room: Auditorium / RAI Theater Ground Floor / Conference Main Auditorium
Author(s): S. Cros, S. Jolivet, N. Sébastien, N. Schmutz
Presenter / Speaker: S. Cros, Reuniwatt, Sainte-Clotilde, Réunion
Event: Conference Conference
Session: 5AO.8 Novel Approaches for PV Power Forecasting
Type(s) of Access:  Conference Registration
Topic: 5. 1 Operation of PV Systems and Plants
Keywords: Photovoltaic (PV), Forecasting, Cloud Index, Surface Solar Irradiance, Meteosat
Summary / Abstract: At intraday horizon, photovoltaic (PV) electricity production forecasting is crucial for a massive and safe integration of this energy into the grid. PV production is mainly driven by incident solar irradiance at ground level. This parameter cannot be accurately determined as a numerical weather prediction model (NWP) output at this time-horizon. Forecast methods using images from meteorological geostationary satellites are a proven alternative. Such methods consist in assessing cloud motion and in extrapolating cloud data from current satellite images to predict future cloud patterns. Two approaches have been implemented to derive cloud motion, using respectively image processing techniques and wind data provided by a NWP model. Comparative benefits of the two approaches have not fully been quantified. Therefore, we propose a benchmark of these two approaches. We implemented these algorithms and compared them with ground measurements. Results shows that cloud motion vectors derived from satellite are more pertinent within a short time horizon. After three hours, external wind data permit to reduce the bias between forecasts and in-situ measurements.