用于优化电网恢复的PowerModels扩展_Julia_MATLAB_下载.zip

# PowerModelsRestoration.jl  [](https://codecov.io/gh/lanl-ansi/PowerModelsRestoration.jl) [](https://lanl-ansi.github.io/PowerModelsRestoration.jl/stable/) A PowerModelsRestoration provides extensions to [PowerModels](https://github.com/lanl-ansi/PowerModels.jl) for solving the power system restoration tasks. A core building block in PowerModelsRestoration is the Maximum Load Delivery (MLD) problem, which provides a reliable numerical method for solving challenging N-k damage scenarios, such as those that arise in the analysis of extreme events. ## Core Problem Specifications * Restoration Ordering Problem (rop) * Minimum Restoration Set Problem (mrsp) * Forward Restoration Redispatch * Maximum Load Delivery with Discrete Variables (mld_uc) * Maximum Load Delivery with Continuous Variables (mld) ## Core Network Formulations * AC (polar coordinates) * DC Approximation (polar coordinates) * SOC Relaxation (W-space) * SDP Relaxation (W-space) ## Citing PowerModelsRestoration If you find the PowerModelsRestoration package useful in your work, we request that you cite the following [publication](https://doi.org/10.1016/j.epsr.2020.106736): ``` @article{rhodes2021powermodelsrestoration, title={PowerModelsRestoration. jl: An open-source framework for exploring power network restoration algorithms}, author={Rhodes, Noah and Fobes, David M and Coffrin, Carleton and Roald, Line}, journal={Electric Power Systems Research}, volume={190}, pages={106736}, year={2021}, publisher={Elsevier} } ``` In addition, if the MLD problem from PowerModelsRestoration useful in your work, we kindly request that you cite the following [publication](https://ieeexplore.ieee.org/document/8494809): ``` @article{8494809, author={Carleton Coffrin and Russell Bent and Byron Tasseff and Kaarthik Sundar and Scott Backhaus}, title={Relaxations of AC Maximal Load Delivery for Severe Contingency Analysis}, journal={IEEE Transactions on Power Systems}, volume={34}, number={2}, pages={1450-1458}, month={March}, year={2019}, doi={10.1109/TPWRS.2018.2876507}, ISSN={0885-8950} } ``` Citation of the [PowerModels framework](https://ieeexplore.ieee.org/document/8442948/) is also encouraged when publishing works that use PowerModels extension packages. ## License This code is provided under a BSD license as part of the Multi-Infrastructure Control and Optimization Toolkit (MICOT) project, LA-CC-13-108.