Including sanctioned load in peak demand pricing

[smartie2076]

In one of the E-LAND pilot sites (Auroville), the peak demand pricing scheme applies, but has an exception: The per-peak-demand price of a month is only used, when the peak demand of a month is larger than 90% of the sanctioned load. Currently, this can not be simulated (easily). But it would be easy to implement.

• Add a new parameter sanctioned_load to energyProviders.csv
• Define the existing capacity of each imaginative peak demand transformer to be of sanctioned_load, in

  multi-vector-simulator/src/multi_vector_simulator/C0_data_processing.py

  Line 993 in 5b5b79c

  INSTALLED_CAP: {VALUE: 0, UNIT: dict_dso[UNIT]},

  which is called by this function

  multi-vector-simulator/src/multi_vector_simulator/C0_data_processing.py

  Line 718 in 5b5b79c

  list_of_dso_energyConversion_assets = add_a_transformer_for_each_peak_demand_pricing_period(

This way, only the OPTIMAL_ADD_CAP is connected to costs.

[smartie2076]

Sadly, I forgot that the peak-demand-pricing assets are currently sized based on the annual OM-costs, not the specific costs:

multi-vector-simulator/src/multi_vector_simulator/C0_data_processing.py

Line 1001 in 5b5b79c

VALUE: dict_dso[PEAK_DEMAND_PRICING][VALUE],

So the implementation is not as easy as I thought. Sorry. Maybe it is worth looking into changing this? One could calculate the equivalent annuity of peak demand pricing, and place the costs on specific_costs afterall. Then, the thing with the installed_capacity would work. But then, it would also be officially counted "upfront investment costs" , which would not be right.