Anzahl von Vorgängen pro Zeitabschnitt beschränken

[PStange]

Ziel ist, die Anzahl eines Vorgangs (z.B. Einschaltvorgang) über einen Zeitraum zu beschränken. Mögliche Anwendungsfälle wären z.B.:

• max. Anzahl an Beladevorgängen eines TWW-Speichers pro Tag
• max. Anzahl an Lieferungen (pro Quartal, pro Jahr) zur Beladung eines Brennstoffspeichers

[FBumann]

With linopy you can group expressions and the sum them up.

You only need a grouper object with maps the single expression to their group.
Then create a constraint (variable * factor) and group it.

groups = timesteps.isocalendar().week
calculation.model.add_constraints(
    (calculation.model['Kessel(Q_fu)|switch_on'] * 1).groupby(groups).sum() <= 1
)

The following groupers are directly available through pd.Datetimeindex:

import pandas as pd

timesteps = pd.date_range('2020-01-01', periods=4000, freq='2h')

print(timesteps.hour)       # Hour component (0-23)
print(timesteps.day)        # Day of month (1-31)
print(timesteps.month)      # Month (1-12)
print(timesteps.year)       # Year
print(timesteps.dayofweek)  # Day of week (0=Monday, 6=Sunday)
print(timesteps.dayofyear)  # Day of year (1-366)
print(timesteps.isocalendar().week)  # ISO week number
print(timesteps.quarter)    # Quarter (1-4)