output=["results/networks/s{simpl}_{clusters}_lv{lv}_{opts}_trace.nc"],
log=dict(python="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_python_trace.log")
)
tmpdir = snakemake.config['solving'].get('tmpdir')
if tmpdir is not None:
patch_pyomo_tmpdir(tmpdir)
logging.basicConfig(filename=snakemake.log.python,
level=snakemake.config['logging_level'])
n = pypsa.Network(snakemake.input[0])
solver_log = 'solver.log'
config = snakemake.config['solving']
opts = snakemake.wildcards.opts.split('-')
def save_optimal_capacities(net, iteration, status):
net.lines[f"s_nom_opt_{iteration}"] = net.lines["s_nom_opt"]
net.links[f"p_nom_opt_{iteration}"] = net.links["p_nom_opt"]
setattr(net, f"status_{iteration}", status)
setattr(net, f"objective_{iteration}", net.objective)
net.iteration = iteration
net.export_to_netcdf(snakemake.output[0])
config['options']['max_iterations'] = 12
n = prepare_network(n, config['options'])
n = solve_network(n, config, solver_log, opts, save_optimal_capacities)
n.export_to_netcdf(snakemake.output[0])
ll='copt',
opts='Co2L-24H')
configure_logging(snakemake)
tmpdir = snakemake.config['solving'].get('tmpdir')
if tmpdir is not None:
patch_pyomo_tmpdir(tmpdir)
n = pypsa.Network(snakemake.input.unprepared)
n_optim = pypsa.Network(snakemake.input.optimized)
n = set_parameters_from_optimized(n, n_optim)
del n_optim
opts = [
o for o in snakemake.wildcards.opts.split('-')
if not re.match(r'^\d+h$', o, re.IGNORECASE)
]
with memory_logger(filename=getattr(snakemake.log, 'memory', None),
interval=30.) as mem:
n = prepare_network(n,
solve_opts=snakemake.config['solving']['options'])
n = solve_network(n,
config=snakemake.config['solving'],
solver_log=snakemake.log.solver,
opts=opts)
n.export_to_netcdf(snakemake.output[0])
logger.info("Maximum memory usage: {}".format(mem.mem_usage))
if __name__ == "__main__":
logging.basicConfig(filename=snakemake.log.python,
level=snakemake.config["logging_level"])
opts = [
o for o in snakemake.wildcards.opts.split("-")
if not re.match(r"^\d+h$", o, re.IGNORECASE)
]
with memory_logger(filename=getattr(snakemake.log, "memory", None),
interval=30.0) as mem:
n = pypsa.Network(snakemake.input[0])
adjust_network(n)
n = prepare_network(n,
solve_opts=snakemake.config["solving"]["options"])
n = solve_network(
n,
config=snakemake.config,
solver_log=snakemake.log.solver,
opts=opts,
)
n.export_to_netcdf(snakemake.output[0])
logger.info("Maximum memory usage: {}".format(mem.mem_usage))