127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
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"""Solve operations network."""
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import pypsa
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import numpy as np
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from solve_network import solve_network, prepare_network
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from helper import override_component_attrs
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import logging
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logger = logging.getLogger(__name__)
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pypsa.pf.logger.setLevel(logging.WARNING)
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def set_parameters_from_optimized(n, n_optim):
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lines_typed_i = n.lines.index[n.lines.type != '']
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n.lines.loc[lines_typed_i, 'num_parallel'] = \
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n_optim.lines['num_parallel'].reindex(lines_typed_i, fill_value=0.)
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n.lines.loc[lines_typed_i, 's_nom'] = (
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np.sqrt(3) * n.lines['type'].map(n.line_types.i_nom) *
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n.lines.bus0.map(n.buses.v_nom) * n.lines.num_parallel)
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lines_untyped_i = n.lines.index[n.lines.type == '']
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for attr in ('s_nom', 'r', 'x'):
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n.lines.loc[lines_untyped_i, attr] = \
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n_optim.lines[attr].reindex(lines_untyped_i, fill_value=0.)
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n.lines['s_nom_extendable'] = False
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links_dc_i = n.links.index[n.links.p_nom_extendable]
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n.links.loc[links_dc_i, 'p_nom'] = \
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n_optim.links['p_nom_opt'].reindex(links_dc_i, fill_value=0.)
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n.links.loc[links_dc_i, 'p_nom_extendable'] = False
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gen_extend_i = n.generators.index[n.generators.p_nom_extendable]
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n.generators.loc[gen_extend_i, 'p_nom'] = \
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n_optim.generators['p_nom_opt'].reindex(gen_extend_i, fill_value=0.)
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n.generators.loc[gen_extend_i, 'p_nom_extendable'] = False
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stor_units_extend_i = n.storage_units.index[n.storage_units.p_nom_extendable]
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n.storage_units.loc[stor_units_extend_i, 'p_nom'] = \
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n_optim.storage_units['p_nom_opt'].reindex(stor_units_extend_i, fill_value=0.)
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n.storage_units.loc[stor_units_extend_i, 'p_nom_extendable'] = False
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stor_extend_i = n.stores.index[n.stores.e_nom_extendable]
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n.stores.loc[stor_extend_i, 'e_nom'] = \
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n_optim.stores['e_nom_opt'].reindex(stor_extend_i, fill_value=0.)
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n.stores.loc[stor_extend_i, 'e_nom_extendable'] = False
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return n
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def remove_unused_components(n, threshold=50):
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logger.info("Remove assets that are barely used to speed things up.")
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for c in n.iterate_components({"Store", "Link", "Generator"}):
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attr = "e_nom" if c.name == "Store" else "p_nom"
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to_remove = c.df.loc[c.df[attr] < threshold].index
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logger.info(f"Removing barely used {c.name}s:\n{to_remove}")
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n.mremove(c.name, to_remove)
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return n
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def add_load_shedding(n, voll=1e4):
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logger.info("Add load shedding to all buses.")
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if "load" in n.generators.carrier.unique():
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to_remove = n.generators.query("carrier == 'load'").index
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logger.info(f"Removing pre-existing load shedding:\n{to_remove}")
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n.mremove("Generator", to_remove)
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n.madd("Generator", n.buses.index,
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suffix=" load",
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bus=n.buses.index,
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carrier='load',
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marginal_cost=voll,
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p_nom=1e6
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)
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return n
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if __name__ == "__main__":
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if 'snakemake' not in globals():
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from helper import mock_snakemake
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snakemake = mock_snakemake(
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'solve_operations_network',
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capacity_year=1952,
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simpl='',
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opts='',
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clusters=37,
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lv=2.0,
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sector_opts='Co2L0-25H-T-H-B-I-A',
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planning_horizons=2030,
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weather_year=2013
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)
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logging.basicConfig(filename=snakemake.log.python,
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level=snakemake.config['logging_level'])
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tmpdir = snakemake.config['solving'].get('tmpdir')
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if tmpdir is not None:
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from pathlib import Path
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Path(tmpdir).mkdir(parents=True, exist_ok=True)
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overrides = override_component_attrs(snakemake.input.overrides)
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n = pypsa.Network(snakemake.input.pre, override_component_attrs=overrides)
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n_post = pypsa.Network(snakemake.input.post, override_component_attrs=overrides)
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n = set_parameters_from_optimized(n, n_post)
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del n_post
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n = remove_unused_components(n)
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n = add_load_shedding(n)
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opts = snakemake.wildcards.sector_opts.split('-')
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solve_opts = snakemake.config['solving']['options']
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solve_opts['skip_iterations'] = True
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n = prepare_network(n, solve_opts)
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n = solve_network(n, config=snakemake.config, opts=opts,
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solver_dir=tmpdir,
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solver_logfile=snakemake.log.solver)
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n.export_to_netcdf(snakemake.output[0])
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