pypsa.Network.consistency_check

Network.consistency_check(check_dtypes: bool = False, strict: Sequence | None = None) → None

Check network for consistency.

Runs a series of checks on the network to ensure that it is consistent, e.g. that all components are connected to existing buses and that no impedances are singular.

Parameters:

• check_dtypes (bool, optional) – If True, check the dtypes of the attributes in the components.

• strict (list, optional) – If some checks should raise an error instead of logging a warning, pass a list of strings with the names of the checks to be strict about. If ‘all’ is passed, all checks will be strict. The default is no strict checks.

:raises ConsistencyError : If any of the checks fail and strict mode is activated.:

See also

[pypsa.consistency.check_for_unknown_buses][] : Check if buses are attached to component but are not defined in the network. [pypsa.consistency.check_for_disconnected_buses][] : Check if network has buses that are not connected to any component. [pypsa.consistency.check_for_unknown_carriers][] : Check if carriers are attached to

component but are not defined in the network.

[pypsa.consistency.check_for_zero_impedances][]Check if component has zero

impedances. Only checks passive branch components.

[pypsa.consistency.check_for_zero_s_nom][]Check if component has zero s_nom. Only

checks transformers.

[pypsa.consistency.check_time_series][]Check if time series of component are

aligned with network snapshots.

[pypsa.consistency.check_static_power_attributes][]Check static attrs p_now, s_nom,

e_nom in any component.

[pypsa.consistency.check_time_series_power_attributes][]Check p_max_pu and

e_max_pu nan and infinite values in time series.

[pypsa.consistency.check_assets][]Check if assets are only committable or

extendable, but not both.

[pypsa.consistency.check_generators][]Check the consistency of generator attributes

before the simulation.

[pypsa.consistency.check_dtypes_][]Check if the dtypes of the attributes in the

component are as expected.

[pypsa.consistency.check_investment_periods][]Check if investment periods are aligned

with snapshots.

[pypsa.consistency.check_shapes][] : Check if shapes are aligned with related components. [pypsa.consistency.check_nans_for_component_default_attrs][] : Check for missing values

in component attributes.