Merge branch 'master' into introduce_hac_clustering
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69c0341145
@ -50,9 +50,9 @@ The dataset consists of:
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- A grid model based on a modified [GridKit](https://github.com/bdw/GridKit)
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extraction of the [ENTSO-E Transmission System
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Map](https://www.entsoe.eu/data/map/). The grid model contains 6001 lines
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Map](https://www.entsoe.eu/data/map/). The grid model contains 6763 lines
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(alternating current lines at and above 220kV voltage level and all high
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voltage direct current lines) and 3657 substations.
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voltage direct current lines) and 3642 substations.
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- The open power plant database
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[powerplantmatching](https://github.com/FRESNA/powerplantmatching).
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- Electrical demand time series from the
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@ -1,6 +1,6 @@
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# Unofficial ENTSO-E dataset processed by GridKit
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This dataset was generated based on a map extract from May 25, 2018.
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This dataset was generated based on a map extract from March 2022.
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This is an _unofficial_ extract of the
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[ENTSO-E interactive map](https://www.entsoe.eu/data/map/)
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of the European power system (including to a limited extent North
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@ -6,7 +6,7 @@ logging,,,
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-- format,--,"","Custom format for log messages. See `LogRecord <https://docs.python.org/3/library/logging.html#logging.LogRecord>`_ attributes."
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summary_dir,--,"e.g. 'results'","Directory into which results are written."
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countries,--,"Subset of {'AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'ME', 'MK', 'NL', 'NO', 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK'}","European countries defined by their `Two-letter country codes (ISO 3166-1) <https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2>`_ which should be included in the energy system model."
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focus_weights,--,"Keys should be two-digit country codes (e.g. DE) and values should range between 0 and 1","Ratio of total clusters for particular countries. the remaining weight is distributed according to mean load. An example: ``focus_weights: DE: 0.6 FR: 0.2``."
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focus_weights,--,"Keys should be two-digit country codes (e.g. DE) and values should range between 0 and 1","Ratio of total clusters for particular countries. the remaining weight is distributed according to mean load. An example: ``focus_weights: 'DE': 0.6 'FR': 0.2``."
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enable,,,
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-- prepare_links_p_nom,bool,"{true, false}","Switch to retrieve current HVDC projects from `Wikipedia <https://en.wikipedia.org/wiki/List_of_HVDC_projects>`_"
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-- retrieve_databundle,bool,"{true, false}","Switch to retrieve databundle from zenodo via the rule :mod:`retrieve_databundle` or whether to keep a custom databundle located in the corresponding folder."
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@ -343,9 +343,9 @@ def clustering_for_n_clusters(n, n_clusters, custom_busmap=False, aggregate_carr
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logger.info(f"Clustering network using algorithm `{algorithm}` and feature `{feature}`...")
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if potential_mode == 'simple':
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p_nom_max_strategy = np.sum
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p_nom_max_strategy = pd.Series.sum
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elif potential_mode == 'conservative':
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p_nom_max_strategy = np.min
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p_nom_max_strategy = pd.Series.min
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else:
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raise AttributeError(f"potential_mode should be one of 'simple' or 'conservative' but is '{potential_mode}'")
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@ -361,7 +361,7 @@ def clustering_for_n_clusters(n, n_clusters, custom_busmap=False, aggregate_carr
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aggregate_generators_carriers=aggregate_carriers,
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aggregate_one_ports=["Load", "StorageUnit"],
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line_length_factor=line_length_factor,
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generator_strategies={'p_nom_max': p_nom_max_strategy, 'p_nom_min': np.sum},
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generator_strategies={'p_nom_max': p_nom_max_strategy, 'p_nom_min': pd.Series.sum},
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scale_link_capital_costs=False)
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if not n.links.empty:
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@ -54,7 +54,7 @@ Replacing '/summaries/' with '/plots/' creates nice colored maps of the results.
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"""
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import logging
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from _helpers import configure_logging, retrieve_snakemake_keys
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from _helpers import configure_logging
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import os
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import pypsa
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@ -430,7 +430,8 @@ if __name__ == "__main__":
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network_dir = os.path.join('results', 'networks')
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configure_logging(snakemake)
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paths, config, wildcards, logs, out = retrieve_snakemake_keys(snakemake)
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config = snakemake.config
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wildcards = snakemake.wildcards
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def expand_from_wildcard(key, config):
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w = getattr(wildcards, key)
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@ -451,6 +452,6 @@ if __name__ == "__main__":
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for l in ll
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for opts in expand_from_wildcard("opts", config)}
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dfs = make_summaries(networks_dict, paths, config, country=wildcards.country)
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dfs = make_summaries(networks_dict, snakemake.input, config, country=wildcards.country)
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to_csv(dfs, out[0])
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to_csv(dfs, snakemake.output[0])
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