ams.routines.dcopf.DCOPF#

class ams.routines.dcopf.DCOPF(system, config)[source]#

DC optimal power flow (DCOPF).

Notes

  1. The nodal price is calculated as pi in pic.

  2. Devices online status of StaticGen, StaticLoad, and Shunt are considered in the connectivity matrices Cft, Cg, Cl, and Csh.

References

  1. R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education,” IEEE Trans. Power Syst., vol. 26, no. 1, pp. 12-19, Feb. 2011

__init__(system, config)[source]#

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, is_eq])

Add Constraint to the routine.

addRParam(name[, tex_name, info, src, unit, ...])

Add RParam to the routine.

addService(name, value[, tex_name, unit, ...])

Add ValueService to the routine.

addVars(name[, model, shape, tex_name, ...])

Add a variable to the routine.

dc2ac([kloss])

Convert the results using 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.

get(src, idx[, attr, horizon])

Get the value of a variable or parameter.

init(**kwargs)

Initialize the routine.

run(**kwargs)

Run the routine.

set(src, idx[, attr, value])

Set the value of an attribute of a routine parameter.

solve(**kwargs)

Solve the routine optimization model.

summary(**kwargs)

Summary interface

unpack(**kwargs)

Unpack the results from CVXPY model.

update([params, build_mats])

Update the values of Parameters in the optimization model.

Attributes

class_name