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from loguru import logger |
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from numpy.random import RandomState |
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from sqlalchemy import Column, Float, Integer, String |
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from sqlalchemy.ext.declarative import declarative_base |
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import numpy as np |
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import pandas as pd |
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from egon.data import config, db |
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Base = declarative_base() |
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def get_cbat_pbat_ratio(): |
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""" |
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Mean ratio between the storage capacity and the power of the pv rooftop |
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system |
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Returns |
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------- |
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int |
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Mean ratio between the storage capacity and the power of the pv |
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rooftop system |
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""" |
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sources = config.datasets()["home_batteries"]["sources"] |
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sql = f""" |
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SELECT max_hours |
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FROM {sources["etrago_storage"]["schema"]} |
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.{sources["etrago_storage"]["table"]} |
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WHERE carrier = 'home_battery' |
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""" |
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return int(db.select_dataframe(sql).iat[0, 0]) |
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def allocate_home_batteries_to_buildings(): |
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""" |
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Allocate home battery storage systems to buildings with pv rooftop systems |
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""" |
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# get constants |
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constants = config.datasets()["home_batteries"]["constants"] |
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scenarios = constants["scenarios"] |
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cbat_ppv_ratio = constants["cbat_ppv_ratio"] |
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rtol = constants["rtol"] |
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max_it = constants["max_it"] |
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cbat_pbat_ratio = get_cbat_pbat_ratio() |
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sources = config.datasets()["home_batteries"]["sources"] |
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df_list = [] |
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for scenario in scenarios: |
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# get home battery capacity per mv grid id |
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sql = f""" |
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SELECT el_capacity as p_nom_min, bus_id as bus FROM |
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{sources["storage"]["schema"]} |
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.{sources["storage"]["table"]} |
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WHERE carrier = 'home_battery' |
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AND scenario = '{scenario}'; |
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""" |
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home_batteries_df = db.select_dataframe(sql) |
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home_batteries_df = home_batteries_df.assign( |
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bat_cap=home_batteries_df.p_nom_min * cbat_pbat_ratio |
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) |
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sql = """ |
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SELECT building_id, capacity |
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FROM supply.egon_power_plants_pv_roof_building |
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WHERE scenario = '{}' |
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AND bus_id = {} |
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""" |
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for bus_id, bat_cap in home_batteries_df[ |
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["bus", "bat_cap"] |
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].itertuples(index=False): |
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pv_df = db.select_dataframe(sql.format(scenario, bus_id)) |
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grid_ratio = bat_cap / pv_df.capacity.sum() |
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if grid_ratio > cbat_ppv_ratio: |
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logger.warning( |
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f"In Grid {bus_id} and scenario {scenario}, the ratio of " |
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f"home storage capacity to pv rooftop capacity is above 1" |
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f" ({grid_ratio: g}). The storage capacity of pv rooftop " |
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f"systems will be high." |
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) |
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if grid_ratio < cbat_ppv_ratio: |
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random_state = RandomState(seed=bus_id) |
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n = max(int(len(pv_df) * grid_ratio), 1) |
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best_df = pv_df.sample(n=n, random_state=random_state) |
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i = 0 |
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while ( |
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not np.isclose(best_df.capacity.sum(), bat_cap, rtol=rtol) |
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and i < max_it |
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): |
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sample_df = pv_df.sample(n=n, random_state=random_state) |
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if abs(best_df.capacity.sum() - bat_cap) > abs( |
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sample_df.capacity.sum() - bat_cap |
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): |
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best_df = sample_df.copy() |
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i += 1 |
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if sample_df.capacity.sum() < bat_cap: |
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n = min(n + 1, len(pv_df)) |
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else: |
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n = max(n - 1, 1) |
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if not np.isclose(best_df.capacity.sum(), bat_cap, rtol=rtol): |
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logger.warning( |
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f"No suitable generators could be found in Grid " |
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f"{bus_id} and scenario {scenario} to achieve the " |
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f"desired ratio between battery capacity and pv " |
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f"rooftop capacity. The ratio will be " |
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f"{bat_cap / best_df.capacity.sum()}." |
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) |
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pv_df = best_df.copy() |
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bat_df = pv_df.drop(columns=["capacity"]).assign( |
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capacity=pv_df.capacity / pv_df.capacity.sum() * bat_cap, |
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p_nom=pv_df.capacity |
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/ pv_df.capacity.sum() |
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* bat_cap |
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/ cbat_pbat_ratio, |
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scenario=scenario, |
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bus_id=bus_id, |
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) |
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df_list.append(bat_df) |
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create_table(pd.concat(df_list, ignore_index=True)) |
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class EgonHomeBatteries(Base): |
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targets = config.datasets()["home_batteries"]["targets"] |
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__tablename__ = targets["home_batteries"]["table"] |
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__table_args__ = {"schema": targets["home_batteries"]["schema"]} |
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index = Column(Integer, primary_key=True, index=True) |
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scenario = Column(String) |
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bus_id = Column(Integer) |
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building_id = Column(Integer) |
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p_nom = Column(Float) |
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capacity = Column(Float) |
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def create_table(df): |
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"""Create mapping table home battery <-> building id""" |
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engine = db.engine() |
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EgonHomeBatteries.__table__.drop(bind=engine, checkfirst=True) |
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EgonHomeBatteries.__table__.create(bind=engine, checkfirst=True) |
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df.reset_index().to_sql( |
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name=EgonHomeBatteries.__table__.name, |
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schema=EgonHomeBatteries.__table__.schema, |
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con=engine, |
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if_exists="append", |
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index=False, |
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) |
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openego /
eGon-data
