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stevenwhately avatar stevenwhately commented on July 24, 2024 1

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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stevenwhately avatar stevenwhately commented on July 24, 2024

Also have Infeasible result with 0.10.1.
Optimal with 0.10.0.
Optimal with 0.10.1 when passing pv_power_forcast.

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davidusb-geek avatar davidusb-geek commented on July 24, 2024

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.

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Micr0mega avatar Micr0mega commented on July 24, 2024

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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