Hi there,
I have a time series including the power consumption of a househould and the power generated by some photovoltaic panels at the same time. I would like to simulate the charging/discharging cycle for a battery for this system (and find optimal parameters like capacity).
I tried with moving aggregation, but have not found a concept how to take the limited capacity of the battery into account.
Any ideas to approach this are welcome
gjoe4
May I assume that you have both power consumption and pv production in same time slice.
The the formulas that I would try are quite straight forward:
-
Calculate the total consumption
(pv - consumption) -
Now you need a column with the moving aggregation for the actual battery capacity (we need the value of the last time slice), let’s call it cap_shift.
-
The battery consumption is either
cap_shift - total consumption in case the cap_shift > total consumption
cap_shift (the battery is empty after the cycle) -
The new battery capacity is cap_shift - battery consumption
The capacity should of course be capped at max battery capacity. -
External supply calculates to total consumption - battery consumption
This model does not correctly consider feeding the power grid.
HTH
@knimediger
thanks for your response. Agree, the math is straight forward, yet I still search for an elegant implementation of the battery capping (to max capacity as well as zero loading). I came up with this workflow, which gives me the desired results, but it “just looks much too complicated” and it is slow, because of the use of the table read/write nodes in the loop.
sure, there is a much easier way to do it, I just cant see it… 
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