2fc1ea0255
* some refactoring and code cleaning
* execute pre-commit
* pre-commit: limit large files
* add license to .pre-commit
* add pre-commit to env
* solve: tidy memory logger
* travis: add conda list for easier debugging
* undo config test/tutorial without plotting, rm matplotlibrc, .licenses
* remove {networks} wildcard
* unadd pre-commit config
* add release notes
* restore REUSE compliance
* fix docs environment python version
* env: remove gurobi from dependencies
* fix unclean merge block
* fix elif to if
* lighter rtd style
* lighter rtd style II
11 lines
1.6 KiB
Plaintext
11 lines
1.6 KiB
Plaintext
,Unit,Values,Description
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formulation,--,"Any of {'angles', 'kirchhoff', 'cycles', 'ptdf'}","Specifies which variant of linearized power flow formulations to use in the optimisation problem. Recommended is 'kirchhoff'. Explained in `this article <https://arxiv.org/abs/1704.01881>`_."
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load_shedding,bool,"{'true','false'}","Add generators with a prohibitively high marginal cost to simulate load shedding and avoid problem infeasibilities."
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noisy_costs,bool,"{'true','false'}","Add random noise to marginal cost of generators by :math:`\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\mathcal{U}(0.09,0,11)`."
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min_iterations,--,int,"Minimum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run."
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max_iterations,--,int,"Maximum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run."
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nhours,--,int,"Specifies the :math:`n` first snapshots to take into account. Must be less than the total number of snapshots. Rather recommended only for debugging."
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clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero."
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skip_iterations,bool,"{'true','false'}","Skip iterating, do not update impedances of branches."
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track_iterations,bool,"{'true','false'}","Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in ``network.lines['s_nom_opt_X']`` (where ``X`` labels the iteration)"
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