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This commit is contained in:
lisazeyen 2022-09-14 16:16:50 +02:00
parent 4accfff1bb
commit ed8f783096
1 changed files with 17 additions and 13 deletions
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30
scripts/prepare_sector_network.py
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@ -2415,7 +2415,7 @@ def limit_individual_line_extension(n, maxext):
def apply_time_segmentation(n, segments, solver_name="cbc",
overwrite_time_dependent=False):
overwrite_time_dependent=True):
"""Aggregating time series to segments with different lengths
Input:
@ -2435,12 +2435,12 @@ def apply_time_segmentation(n, segments, solver_name="cbc",
# get all time-dependent data
columns = pd.MultiIndex.from_tuples([],names=['component', 'key', 'asset'])
raw = pd.DataFrame(index=n.snapshots,columns=columns)
for component in n.all_components:
pnl = n.pnl(component)
for key in pnl.keys():
if not pnl[key].empty:
df = pnl[key].copy()
df.columns = pd.MultiIndex.from_product([[component], [key], df.columns])
for c in n.iterate_components():
for attr, pnl in c.pnl.items():
# exclude e_min_pu which is used for SOC of EVs in the morning
if not pnl.empty and attr != 'e_min_pu':
df = pnl.copy()
df.columns = pd.MultiIndex.from_product([[c.name], [attr], df.columns])
raw = pd.concat([raw, df], axis=1)
# normalise all time-dependent data
@ -2478,18 +2478,22 @@ def set_temporal_aggregation(n, opts, solver_name):
m = re.match(r"^\d+h$", o, re.IGNORECASE)
if m is not None:
n = average_every_nhours(n, m.group(0))
break
# representive snapshots
m = re.match(r"^\d+sn$", o, re.IGNORECASE)
m = re.match(r"(^\d+)sn$", o, re.IGNORECASE)
if m is not None:
sn = int(m.group(0).split("sn")[0])
logger.info("use every {} snapshot as representative".format(sn))
sn = int(m[1])
logger.info(f"use every {sn} snapshot as representative")
n.set_snapshots(n.snapshots[::sn])
n.snapshot_weightings *= sn
break
# segments with package tsam
if "SEG" in o:
segments = int(o.replace("SEG",""))
logger.info("use temporal segmentation with {} segments".format(segments))
m = re.match(r"^(\d+)seg$", o, re.IGNORECASE)
if m is not None:
segments = int(m[1])
logger.info(f"use temporal segmentation with {segments} segments")
n = apply_time_segmentation(n, segments, solver_name=solver_name)
break
return n
#%%
if __name__ == "__main__":