Speaker
Description
This study investigates the meteorological drivers responsible for sudden wind power fluctuations (ramps) at the Belgian offshore wind farm cluster. These ramps can cause grid management challenges.
Using power generation and meteorological data, 221 unique ramps are identified across 154 days in 4 years time. Each ramp is manually linked to synoptic conditions via a custom dashboard integrating weather charts and power data. Ramp types are categorised into slow-large ($\geq$1000 Mw in $\leq$60 min), fast-small ($\geq$500 Mw in $\leq$15 min) and fast-large ramps (both criteria).
Most events (171) can be associated to synoptic scale events, which might suggest that the Belgian cluster is somewhat insensitive to mesoscale features (often fast ramps).
To explore this further, ramp extraction (with scaled thresholds) of hypothetical sub-clusters shows that larger clusters ramp less frequently, but when they do, the events are more severe (larger and longer).
