From 5dfeb6efbcfc98d39d914c2a70fc193ec420869b Mon Sep 17 00:00:00 2001 From: Jonas Hoersch Date: Mon, 4 Feb 2019 18:32:56 +0100 Subject: [PATCH] trace_solve_network: Save intermediate line capacities --- Snakefile | 9 +++++++ scripts/solve_network.py | 7 ++++- scripts/trace_solve_network.py | 47 ++++++++++++++++++++++++++++++++++ 3 files changed, 62 insertions(+), 1 deletion(-) create mode 100644 scripts/trace_solve_network.py diff --git a/Snakefile b/Snakefile index cda7be14..c7e04b0e 100644 --- a/Snakefile +++ b/Snakefile @@ -232,6 +232,15 @@ rule solve_network: # group: "solve" # with group, threads is ignored https://bitbucket.org/snakemake/snakemake/issues/971/group-job-description-does-not-contain script: "scripts/solve_network.py" +rule trace_solve_network: + input: "networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc" + output: "results/networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}_trace.nc" + shadow: "shallow" + log: python="logs/{network}_s{simpl}_{clusters}_l{ll}_{opts}_python_trace.log", + threads: 4 + resources: mem=memory + script: "scripts/trace_solve_network.py" + rule solve_operations_network: input: unprepared="networks/{network}_s{simpl}_{clusters}.nc", diff --git a/scripts/solve_network.py b/scripts/solve_network.py index 4df98c5c..67251671 100644 --- a/scripts/solve_network.py +++ b/scripts/solve_network.py @@ -120,7 +120,7 @@ def fix_branches(n, lines_s_nom=None, links_p_nom=None): if isinstance(n.opt, pypsa.opf.PersistentSolver): n.opt.update_var(n.model.link_p_nom) -def solve_network(n, config=None, solver_log=None, opts=None): +def solve_network(n, config=None, solver_log=None, opts=None, callback=None): if config is None: config = snakemake.config['solving'] solve_opts = config['options'] @@ -212,6 +212,7 @@ def solve_network(n, config=None, solver_log=None, opts=None): lines['s_nom_opt'] = lines['s_nom'] * n.lines['num_parallel'].where(n.lines.type != '', 1.) status, termination_condition = run_lopf(n, allow_warning_status=True) + if callback is not None: callback(n, iteration, status) def msq_diff(n): lines_err = np.sqrt(((n.lines['s_nom_opt'] - lines['s_nom_opt'])**2).mean())/lines['s_nom_opt'].mean() @@ -230,12 +231,16 @@ def solve_network(n, config=None, solver_log=None, opts=None): iteration += 1 status, termination_condition = run_lopf(n, allow_warning_status=True) + if callback is not None: callback(n, iteration, status) + update_line_parameters(n, zero_lines_below=100) logger.info("Starting last run with fixed extendable lines") + iteration += 1 status, termination_condition = run_lopf(n, fix_ext_lines=True) + if callback is not None: callback(n, iteration, status) return n diff --git a/scripts/trace_solve_network.py b/scripts/trace_solve_network.py new file mode 100644 index 00000000..da40b9f7 --- /dev/null +++ b/scripts/trace_solve_network.py @@ -0,0 +1,47 @@ +import numpy as np +import pandas as pd +import logging +logger = logging.getLogger(__name__) + +from solve_network import patch_pyomo_tmpdir, prepare_network, solve_network + +import pypsa + + +if __name__ == "__main__": + # Detect running outside of snakemake and mock snakemake for testing + if 'snakemake' not in globals(): + from vresutils.snakemake import MockSnakemake, Dict + snakemake = MockSnakemake( + wildcards=dict(network='elec', simpl='', clusters='45', lv='1.25', opts='Co2L-3H'), + input=["networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc"], + 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])