# PowerModelsACDC.jl
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PowerModelsACDC.jl is a Julia/JuMP/PowerModels package with models for DC lines, meshed DC networks, and AC DC converters.
Building upon the PowerModels architecture, the code is engineered to decouple problem specifications (e.g. Power Flow, Optimal Power Flow, ...) from the power network formulations (e.g. AC, DC-approximation, SOC-relaxation, ...).
**Installation**
The latest stable release of PowerModelACDC can be installed using the Julia package manager with
```julia
Pkg.add("PowerModelsACDC")
```
**Core Problem Specifications**
* Optimal Power Flow with both point-to-point and meshed and dc grid support
* Power Flow with both point-to-point and meshed ac and dc grid support
* TNEP problem for point-to-point and meashed ac and dc grids
**Core Formulations**
All AC formulations of PowerModels are re-used.
Therefore, the core formulations in this package are twofold: those for the DC network and those for the AC/DC converters.
DC network connecting dc nodes:
* DC nonlinear nonconvex formulation (NLP)
* Convexified (SOC) bus injection model and branch flow model for the DC grid (which can be used with both the SDP and SOC convex relaxation formulations for the AC side)
* Linearized (LP) active power only formulation, extending the linearized 'DC' approximation of AC grids to DC grids
AC/DC converter stations, connecting ac nodes and dc nodes, are composed of a transformer, filter, phase reactor and LCC/VSC converter. The passive components can be removed/disabled. Convex relaxation and linearized models for the passive components have been described, therefore, the converter station formulation is categorized by converter model complexity. The converter model includes constant losses and losses proportional to the current magnitude as well as current magnitude squared.
* Nonlinear nonconvex formulation (NLP)
* Convexified formulation (SOC)
* Linearized formulation (LP)
**Network Data Formats**
* MatACDC-style ".m" files (matpower ".m"-derived).
* Matpower-style ".m" files, including matpower's dcline extenstions.
* PTI ".raw" files, using PowerModels.jl parser
Note that the matpower-style `dcline` is transformed internally to two converters + a dcline connecting them. Such a transformation is exact for the 'dc'-style linearized models, but not for the AC models.
For further information, consult the PowerModels [documentation](https://lanl-ansi.github.io/PowerModels.jl/stable/).
## Acknowledgments
The developers thank Carleton Coffrin (LANL) for his support.
## Contributors
- Hakan Ergun (KU Leuven / EnergyVille): Main developer
- Frederik Geth (KU Leuven / EnergyVille): Formulations & relaxations of the OPF problem
- Jay Dave (KU Leuven / EnergyVille): Transmission expansion plannning
- Ghulam Mohy Ud Din (CSIRO): ACR formulation of the OPF problem
## Citing PowerModelsACDC
If you find PowerModelsACDC useful in your work, we kindly request that you cite the following publications:
[AC/DC OPF Core](https://ieeexplore.ieee.org/document/8636236):
```
@ARTICLE{8636236,
author={H. {Ergun} and J. {Dave} and D. {Van Hertem} and F. {Geth}},
journal={IEEE Transactions on Power Systems},
title={Optimal Power Flow for AC�DC Grids: Formulation, Convex Relaxation, Linear Approximation, and Implementation},
year={2019},
volume={34},
number={4},
pages={2980-2990},
keywords={AC-DC power convertors;approximation theory;HVDC power convertors;HVDC power transmission;power grids;power transmission control;reactive power control;AC-DC grids;linear approximation;active power control capabilities;reactive power control capabilities;HVDC converter stations;power systems;ancillary services;optimal power flow model;convex relaxation formulation;parameterized ac-dc converter model;common ac optimal power flow formulations;dc nodes;converter station technologies;ac nodes;ancillary security;open-source tool;Mathematical model;HVDC transmission;AC-DC power converters;Numerical models;Inductors;Impedance;Linear approximation;HVDC transmission;flexible ac transmission systems;power system analysis computing},
doi={10.1109/TPWRS.2019.2897835},
ISSN={0885-8950},
month={July},}
```
[TNEP Extension 1](https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0383):
```
@ARTICLE{
iet:/content/journals/10.1049/iet-gtd.2019.0383,
author = {Jay Dave},
author = {Hakan Ergun},
author = {Ting An},
author = {Jingjing Lu},
author = {Dirk Van Hertem},
keywords = {power systems;meshed HVDC grids;increased utilisation;presented formulations;convex formulations;second-order cone convex relaxation;multiple HVDC links;linear approximation;dc grids;transmission network expansion planning problem;high-voltage direct current;traditional ac grid;TNEP problem;nonlinear formulation;},
ISSN = {1751-8687},
title = {TNEP of meshed HVDC grids: ‘AC’, ‘DC’ and convex formulations},
journal = {IET Generation, Transmission & Distribution},
issue = {24},
volume = {13},
year = {2019},
month = {December},
pages = {5523-5532(9)},
publisher ={Institution of Engineering and Technology},
copyright = {© The Institution of Engineering and Technology},
url = {https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0383}
}
```
[TNEP Extension 2](https://doi.org/10.1016/j.epsr.2020.106683):
```
@ARTICLE{dave2021relaxations,
title={Relaxations and approximations of HVdc grid TNEP problem},
author={Dave, Jay and Ergun, Hakan and Van Hertem, Dirk},
journal={Electric Power Systems Research},
volume={192},
pages={106683},
year={2021},
publisher={Elsevier}
}
}
```
## License
This code is provided under a BSD license.
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PowerModelsACDC.jl-0.6.3.zip
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PowerModelsACDC.jl-0.6.3.zip (116个子文件)
.gitignore 121B
.gitignore 0B
variableconv.jl 45KB
tnep.jl 26KB
data.jl 20KB
iv.jl 19KB
lpac.jl 17KB
constraint.jl 15KB
base.jl 14KB
variabledcgrid.jl 14KB
constraint_template.jl 13KB
bf.jl 13KB
acp.jl 12KB
shared.jl 11KB
ACDCBenchmark.jl 10KB
dcp.jl 9KB
shared.jl 9KB
mp_tnepopf_bf.jl 9KB
solution.jl 8KB
mp_tnepopf.jl 8KB
opf.jl 8KB
pf.jl 8KB
acp.jl 7KB
lpac.jl 7KB
tnepopf_bf.jl 7KB
tnepopf.jl 6KB
acr.jl 6KB
objective.jl 6KB
bf.jl 6KB
ACDCINVtest.jl 5KB
dcp.jl 5KB
PSCC_test.jl 4KB
wr.jl 4KB
acdcpf.jl 4KB
ACDCIVRtest.jl 3KB
acr.jl 2KB
wr.jl 2KB
relaxation_scheme.jl 2KB
wrm.jl 2KB
multinetwork.jl 2KB
ACDCtest.jl 2KB
acdcopf_bf.jl 2KB
iv.jl 2KB
acdcopf.jl 2KB
acdcopf_iv.jl 2KB
conv_spec.jl 2KB
PowerModelsACDC.jl 2KB
wrm.jl 2KB
runtests.jl 1KB
make.jl 893B
results.jl 563B
common.jl 287B
conv_spec.jl 0B
case3120sp_acdc.m 396KB
pglib_opf_case588_sdet_acdc.m 213KB
case118.m 98KB
case73.m 50KB
case39.m 34KB
case14_test.m 30KB
case24_3zones_acdc.m 23KB
case24_fr_lit.m 22KB
case24_3zones_acdc_acpart.m 17KB
case39_test.m 15KB
case39_acdc.m 14KB
case14.m 12KB
case6_fr_lit.m 8KB
case6_fr_lit_nointi.m 8KB
case9.m 6KB
case6acdc_dc_tnep.m 6KB
case4_acdc.m 6KB
case4_original.m 6KB
case24_3zones_acdc_dcpart.m 5KB
case6_acdc_tnep.m 5KB
case6_test.m 5KB
case6_dc_tnep.m 5KB
case6acdc_dc_branch_tnep.m 5KB
case5_2grids.m 5KB
case5_acdc.m 4KB
case5_lcc.m 4KB
case5_acdc_droop.m 4KB
case5_b2bdc.m 3KB
case5_acdc_dcpart.m 3KB
case9_test.m 3KB
case5_2grids_acpart.m 3KB
lcc_test.m 3KB
case5_dc.m 3KB
case5_dcgrid.m 3KB
case5_dcgrid_b0.m 3KB
case5_asym.m 2KB
case3.m 2KB
case5_acdc_acpart.m 2KB
case5_2grids_dcpart.m 1KB
README.md 6KB
formulations.md 6KB
parser.md 3KB
problems.md 2KB
specifications.md 2KB
LICENSE.md 1KB
index.md 1KB
constraints.md 1KB
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