Clipping detection helpers for the solar plant rule engine
Project description
pvclipping
Inverter clipping detection helper for the solar plant rule engine.
Install
pip install pvclipping
Usage with RuleParser
from pvclipping import get_custom_funcs
parser = RuleParser(
plant_id=...,
meter_dim=meter_dim,
postgres_engine=engine,
influx_engine=clickhouse,
reading_dim=reading_dim,
custom_func=get_custom_funcs(),
)
Rule JSON
{
"steps": [
{
"name": "irr_filter#GLOBAL",
"type": "filter",
"value": "$$Tilt_Irr#GLOBAL$$ > 400"
},
{
"name": "Power_Active#INV",
"value": "$$Power_Active#INV$$.round(0)",
"filter": "irr_filter#GLOBAL",
"all_ticks": true
},
{
"name": "AC_Capacity#INV",
"value": "$$AC_Capacity#INV$$",
"all_ticks": true,
"fill_missing": true
},
{
"name": "Clipping_status#INV",
"value": "detect_clipping(df['Power_Active#INV'], df['AC_Capacity#INV'])",
"eval_meter": true
},
{
"name": "Clipping_status_F#INV",
"type": "filter",
"value": "$$Clipping_status#INV$$ > 0"
}
],
"output": ["Clipping_status_F#INV"]
}
Function signature
detect_clipping(
power, # pd.Series — active power, pre-filtered to evaluation window
capacity, # pd.Series — AC capacity, forward-filled
window=5, # rolling window size in ticks
std_threshold=1.0, # max rolling std (kW) to qualify as a flat plateau
min_power_fraction=0.2, # min power fraction of capacity to exclude standby
)
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