build_constraints: Calculate the cumulative minimum and maximum charge for a...
In henobe/flexoptr: Optimise Energy Flexibilities

Description Usage Arguments Details Value Examples

Given the physical parameters, this function calculates the necessary, i.e lower limits, and possible, i.e. upper limits, for charging a storage.

build_constraints(
  cycles,
  state,
  capacity,
  loss_rate,
  charge_rate,
  parameters = NULL
)

`cycles`	a positive integer, the number of cycles this function should consider
`state`	a positive integer, the starting state of energy in the storage
`capacity`	a positive integer, the maximum amount of energy that can be stored
`loss_rate`	a positive integer, the energy / cycle depleted from storage
`charge_rate`	a positive integer, the maximum energy / cycle which with the storage can be charged
`parameters`	a numerical, named vector, can substitute the use of the parameters `capacity`, `loss_rate`, and `charge_rate`. When used, all three values must be supplied by named values.

Considering a steady loss rate in some kind of energy storage, this function calculates the cumulative minimal charge required to not go below zero charge.

In the same sense, a maximum cumulative charge is calculated which indicates the physical and realistic maximum of energy that could be put into the storage until it is full.

The function thinks in time cycles, where one would charge x amount of energy from the beginning of the cycle until the end of the same cycle.

a data frame with cycle number, minimum, and maximum cumulative charge