ams.routines.pflow.PFlow

class ams.routines.pflow.PFlow(system, config, **kwargs)

Power flow analysis using ANDES PFlow routine.

More settings can be changed via PFlow2._adsys.config and PFlow2._adsys.PFlow.config.

All generator output powers, bus voltages, and angles are included in the variable definitions. However, not all of these are unknowns; the definitions are provided for easy access.

References

1. 13. 12. Crow, Computational methods for electric power systems. 2015.

2. ANDES Documentation - Simulation and Plot. https://andes.readthedocs.io/en/stable/_examples/ex1.html

__init__(system, config, **kwargs)

Initialize the routine.

Parameters:

systemOptional[Type]

The system object associated with the routine.

configOptional[dict]

Configuration dictionary for the routine.

Methods

addConstrs(name, e_str[, info])	Not supported!
addRParam(name[, tex_name, info, src, unit, ...])	Not supported!
addService(name, value[, tex_name, unit, ...])	Not supported!
addVars(name[, model, shape, tex_name, ...])	Not supported!
dc2ac([kloss])	Convert the DC-based results with ACOPF.
disable(name)	Disable a constraint by name.
doc([max_width, export])	Retrieve routine documentation as a string.
enable(name)	Enable a constraint by name.
export_csv([path])	Export scheduling results to a csv file.
export_json([path])	Export scheduling results to a json file.
formulation_summary([return_rows])	Print (or return) a per-item table of the live formulation source.
get(src, idx[, attr, horizon])	Get the value of a variable or parameter.
init(**kwargs)	Initialize the ANDES PFlow routine.
load_json(path)	Load scheduling results from a json file.
run(**kwargs)	Run the routine.
set(src, idx[, attr, value])	Set the value of an attribute of a routine parameter.
solve(**kwargs)	Placeholder.
summary(**kwargs)	Summary interface
unpack(res, **kwargs)	Unpack the results from ANDES PFlow routine.
update([params, build_mats])	This method updates the parameters in the optimization model.

Attributes

class_name