pypsa-eur/doc/configtables/solving.csv

1		Unit	Values	Description
2	options
3	-- 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.
4	-- load_shedding	bool/float	{'true','false', float}	Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh.
5	-- 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)`.
6	-- skip_iterations	bool	{'true','false'}	Skip iterating, do not update impedances of branches. Defaults to true.
7	-- rolling_horizon	bool	{'true','false'}	Whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively.
8	-- seed	--	int	Random seed for increased deterministic behaviour.
9	-- 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)
10	-- 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.
11	-- 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.
12	-- transmission_losses	int	[0-9]	Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored.
13	-- linearized_unit_commitment	bool	{'true','false'}	Whether to optimise using the linearized unit commitment formulation.
14	-- horizon	--	int	Number of snapshots to consider in each iteration. Defaults to 100.
15	solver
16	-- name	--	One of {'gurobi', 'cplex', 'cbc', 'glpk', 'ipopt'}; potentially more possible	Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow.
17	-- options	--	Key listed under ``solver_options``.	Link to specific parameter settings.
18	solver_options		dict	Dictionaries with solver-specific parameter settings.
19	mem	MB	int	Estimated maximum memory requirement for solving networks.