pypsa-eur/doc/configtables/solving-options.csv

1		Unit	Values	Description
2	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>`_.
3	load_shedding	bool	{'true','false'}	Add generators with a prohibitively high marginal cost to simulate load shedding and avoid problem infeasibilities.
4	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)`.
5	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.
6	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.
7	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.
8	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.
9	skip_iterations	bool	{'true','false'}	Skip iterating, do not update impedances of branches.
10	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)