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	-- custom_extra_functionality	--	str	Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to ``rules`` directory.
10	-- io_api	string	{'lp','mps','direct'}	Passed to linopy and determines the API used to communicate with the solver. With the ``'lp'`` and ``'mps'`` options linopy passes a file to the solver; with the ``'direct'`` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance.
11	-- 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)
12	-- 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.
13	-- 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.
14	-- transmission_losses	int	[0-9]	Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored.
15	-- linearized_unit_commitment	bool	{'true','false'}	Whether to optimise using the linearized unit commitment formulation.
16	-- horizon	--	int	Number of snapshots to consider in each iteration. Defaults to 100.
17	constraints
18	-- CCL	bool	{'true','false'}	Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at ``electricity: agg_p_nom_limits`` in the configuration. File defaults to ``data/agg_p_nom_minmax.csv``.
19	-- EQ	bool/string	{'false',`n(c| )``; i.e. ``0.5``-``0.7c``}	Require each country or node to on average produce a minimal share of its total consumption itself. Example: ``EQ0.5c`` demands each country to produce on average at least 50% of its consumption; ``EQ0.5`` demands each node to produce on average at least 50% of its consumption.
20	-- BAU	bool	{'true','false'}	Add a per-``carrier`` minimal overall capacity; i.e. at least ``40GW`` of ``OCGT`` in Europe; configured in ``electricity: BAU_mincapacities``
21	-- SAFE	bool	{'true','false'}	Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network.
22	solver
23	-- 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.
24	-- options	--	Key listed under ``solver_options``.	Link to specific parameter settings.
25	solver_options		dict	Dictionaries with solver-specific parameter settings.
26	mem	MB	int	Estimated maximum memory requirement for solving networks.