Open nesnoj opened 5 years ago
When using power_curve
instead of power_coefficient_curve
the output exceedance drops to 2,18% which exactly matches the ratio of max. power (2350.25) to the nominal power (2300).
So it seems to be a cp-related issue..
Thank you for reporting and for the example!
As you can see the values originating from the cp curve are highly fluctuating around the highest power value in the power curve.
Thus, I'd like to recommend you to calculated with power curves for now. However, lets keep up the discussion about the cp curves!
Thanks for your quick reply and the plot! That's quite some fluctuation.. I'll use the power curve for now until we have better data. Cheers
Does this problem persist or did you solve it by using the power curve.
We could add something like a "force_to_max" method that will force the output to the nominal output if the wind_speed is above a specific value. But this is only needed if there is a power coefficient curve but no power curve. Actually everybody is already free to do this in a post processing.
I cannot gauge the importance of this problem.
@SabineHaas As mentioned before, I tested the windpowerlib to find out whether the feedin exceeds the nominal power of a turbine. I used the following script: https://gist.github.com/nesnoj/b275925d829cd03fce871e2e9d825490
weather.csv
from the repo but I encountered the same behaviour with a different datasetIs this due to an incorrect cp curve?
Original issue: https://github.com/reegis/reegis/issues/9