Comments (4)
The following change produced infeasible results.
dd00d43#diff-73fdad90feda707a91a77eb0a3628bf4346268f4ae70160850a06b29ce32024bL317-R317
This was caused by scrapper returning negative values.
Something like the following will stop any negative PV values from producing infeasible results
constraints.update({"constraint_curtailment_{}".format(i) :
plp.LpConstraint(
- e = P_PV_curtailment[i] - P_PV[i],
+ e = P_PV_curtailment[i] - max(P_PV[i],0),
sense = plp.LpConstraintLE,
rhs = 0)
for i in set_I})
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Also have Infeasible result with 0.10.1.
Optimal with 0.10.0.
Optimal with 0.10.1 when passing pv_power_forcast.
from emhass.
Just merged this, it will be added to the following release.
But it just feel that this should be fixed direcly when generating the PV forecast.
Working right now on fixing the scrapping method.
from emhass.
I can confirm version 0.10.2 seems to have fixed this issue, at least with the current dataset I have available right now. Thanks!
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