This function computes the ramp of the consumption and the balance of areas and/or districts.
netLoadRamp(
x,
timeStep = "hourly",
synthesis = FALSE,
ignoreMustRun = FALSE,
opts = NULL
)
netLoadRamp
returns a data.table or a list of data.tables with the
following columns:
Ramp of the net load of an area. If timeStep
is not hourly, then these
columns contain the average value for the given time step.
Formula = netLoad - shift(netLoad, fill = 0)
Ramp of the balance of an area. If timeStep
is not hourly, then
these columns contain the average value for the given time step.
formula = BALANCE - shift(BALANCE, fill = 0)
Sum of the two previous columns. If timeStep
is not hourly, then
these columns contain the average value for the given time step.
formula = netLoadRamp + balanceRamp
Minimum ramp of the net load of an area, if timeStep
is not hourly.
Minimum ramp of the balance of an area, if timeStep
is not hourly.
Minimum ramp sum of the sum of balance and net load, if timeStep
is not hourly.
Maximum ramp of the net load of an area, if timeStep
is not hourly.
Maximum ramp of the balance of an area, if timeStep
is not hourly.
Maximum ramp of the sum of balance and net load, if timeStep
is not hourly.
For convenience the function invisibly returns the modified input.
Object of class antaresData
containing data for areas and/or
districts. It must contain the column BALANCE
and either the column
"netLoad" or the columns needed to compute the net load see addNetLoad.
Desired time step for the result.
If TRUE, average surpluses are returned. Else the function returns surpluses per Monte-Carlo scenario.
Should the must run production be ignored in the computation of the net load?
opts where clusterDesc will be read if null based on data
if (FALSE) {
# data required by the function
showAliases("netLoadRamp")
mydata <- readAntares(select="netLoadRamp")
netLoadRamp(mydata, timeStep = "annual")
}
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