KO
|
EN
gitlite — search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
PowerModelsMCDC.jl
★ 15
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
Udacity-Deep-Learning-Nanodegree
:
My Projects Submission to Udacity's Deep Learning Nanodegree Program
fluter_login_example
:
A simple flutter project to make a fake a login using TDD and Clean Architecture
RL-Set-Valued-Policy
:
[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797
npsv
:
Non-parametric structural variant genotyper
trackpack
:
Tracking app using flutter technology design inspired from dribbble
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
PowerModelsMCDC.jl
?
Download (.md)
# PowerModelsMCDC.jl [](https://github.com/Electa-Git/PowerModelsMCDC.jl/actions/workflows/ci.yml) [](https://codecov.io/gh/Electa-Git/PowerModelsMCDC.jl) [](https://electa-git.github.io/PowerModelsMCDC.jl/dev/) PowerModelsMCDC.jl is a Julia/JuMP/PowerModels package for hybrid AC/DC systems with multiconductor model of the DC grid in order to represent unbalanced HVDC grids. The positive and negative poles of bipolar converter stations are modeled separately, and DC buses are modeled using three terminals: the positive, negative, and neutral terminal. Each conductor of a DC branch is modeled separately, including the metallic return conductor and converter grounding. ## Core Problem Specification * Non-linear AC/DC optimal power flow (OPF) model with multiconductor DC. * ACP, ACR and DCP formulations are complete. Convex relaxations are currently under development. ### Other problems (to be added to this package) * AC/DC SCOPF with multiconductor DC (MCDC SCOPF): complete, and planned to be added soon. * AC/DC power flow with different converter control modes: complete, and planned to be added soon. * Transmission network expansion planning with mixed monopolar and bipolar HVDC configurations: work in progress. ## Contributors * Chandra Kant Jat (KU Leuven / EnergyVille): main developer * Jay Dave (KU Leuven / EnergyVille): testing and validations * Hakan Ergun (KU Leuven / EnergyVille): supervisor * Matteo Rossini (KU Leuven / EnergyVille): continuous integration * Matteo Baù (RSE) : DCP formulation and component status ## Citing PowerModelsMCDC If you find PowerModelsMCDC useful in your work, we kindly request that you cite the following publications: [MCDC OPF](https://ieeexplore.ieee.org/document/10304389): ```bibtex @ARTICLE{10304389, author={Jat, Chandra Kant and Dave, Jay and Van Hertem, Dirk and Ergun, Hakan}, journal={IEEE Transactions on Power Systems}, title={Hybrid AC/DC OPF Model for Unbalanced Operation of Bipolar HVDC Grids}, year={2023}, volume={}, number={}, pages={1-11}, doi={10.1109/TPWRS.2023.3329345}} ``` ## Contact Details If you have something to discuss about the package or related work please feel free to reach out at [chandrakant.jat@kuleuven.be](mailto:chandrakant.jat@kuleuven.be). ## License This code is provided under a [BSD 3-Clause License](/LICENSE.md).