pypsa-eur/scripts/solve_operations_network.py
Fabian Neumann 013b705ee4
Clustering: build renewable profiles and add all assets after clustering (#1201)
* Cluster first: build renewable profiles and add all assets after clustering

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* correction: pass landfall_lengths through functions

* assign landfall_lenghts correctly

* remove parameter add_land_use_constraint

* fix network_dict

* calculate distance to shoreline, remove underwater_fraction

* adjust simplification parameter to exclude Crete from offshore wind connections

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* remove unused geth2015 hydro capacities

* removing remaining traces of {simpl} wildcard

* add release notes and update workflow graphics

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: lisazeyen <lisa.zeyen@web.de>
2024-09-13 15:37:01 +02:00

61 lines
1.6 KiB
Python

# -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: : 2017-2024 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: MIT
"""
Solves linear optimal dispatch in hourly resolution using the capacities of
previous capacity expansion in rule :mod:`solve_network`.
"""
import logging
import numpy as np
import pypsa
from _helpers import (
configure_logging,
set_scenario_config,
update_config_from_wildcards,
)
from solve_network import prepare_network, solve_network
logger = logging.getLogger(__name__)
if __name__ == "__main__":
if "snakemake" not in globals():
from _helpers import mock_snakemake
snakemake = mock_snakemake(
"solve_operations_network",
configfiles="test/config.electricity.yaml",
opts="",
clusters="5",
ll="v1.5",
sector_opts="",
planning_horizons="",
)
configure_logging(snakemake)
set_scenario_config(snakemake)
update_config_from_wildcards(snakemake.config, snakemake.wildcards)
solve_opts = snakemake.params.options
np.random.seed(solve_opts.get("seed", 123))
n = pypsa.Network(snakemake.input.network)
n.optimize.fix_optimal_capacities()
n = prepare_network(n, solve_opts, config=snakemake.config)
n = solve_network(
n,
config=snakemake.config,
params=snakemake.params,
solving=snakemake.params.solving,
log_fn=snakemake.log.solver,
)
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
n.export_to_netcdf(snakemake.output[0])