Add storage_costs to GenericStorage #962
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| storage_costs += self.storage_content[n, 0] * n.storage_costs[0] | ||
| for t in m.TIMESTEPS: | ||
| storage_costs += self.storage_content[n, t+1] * n.storage_costs[t+1] |
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The earlier described behavior probably results somehow from having the cumulated sum of costs over all timsteps. Maybe a note should be added that it might be complicated to directly steer the behavior?!
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The way it is designed is intended: The cost is applied for having energy in the storage. I made the docstring more specific. (If there was cost for storing, you would give that to the inflow, instead.)
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Could you please briefly explain, what you want to show in your example? Especially with your choice of setting the |
I decided to go to a more practical example. The original one arose from the script I wrote to check the behaviour of the new functionality. |
| +0.1 GenericStorageBlock_storage_content(storage_no_invest_1) | ||
| +0.1 GenericStorageBlock_storage_content(storage_no_invest_2) | ||
| +0.1 GenericStorageBlock_storage_content(storage_no_invest_3) |
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Apparently there is no period index for the storage block. Maybe this should be fixed for the sake of consistency? Not sure if this needs to be addressed in a separate issue though?!
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As the storage content is given in absolute values, only the limit (which might change from period to period) needs to have the index. I will leave it as it is.
Implement parameter
storage_costsforGenericStorage:storage_costsmight exist, e.g. if space can be rented depending on the stored energy. So, this might be seen as an alternative to investment optimisation. A second use case is to incentivise using the storage in the last time step if the storage is not periodic. This can be done by givingstorage_costs=n_time_steps * [0] + [-energy_price], so that stored energy in the last time step is valued with the energy price.