ANL-CEEESA
/
powersas.m
mirror of https://github.com/ANL-CEEESA/powersas.m
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

start adding powerSAS.m to the template

Browse Source
pull/1/head
Yang Liu 3 years ago
parent b2db5fc6b2
commit e33b29ec67
1 changed files with 57 additions and 52 deletions
Show Stats Download Patch File Download Diff File

109
docs/source/index.rst
Unescape View File

@ -1,5 +1,5 @@
.. ANDES documentation master file, created by
sphinx-quickstart on Thu Jun 21 11:11:34 2018.
.. powerSAS.m documentation master file, created by
sphinx-quickstart on 02/21/2023.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
@ -7,66 +7,71 @@
<embed>
<h1 style="letter-spacing: 0.4em; font-size: 2.5em !important;
margin-bottom: 0; padding-bottom: 0"> ANDES </h1>
margin-bottom: 0; padding-bottom: 0"> powerSAS.m </h1>
<p style="color: #00746F; font-variant: small-caps; font-weight: bold;
margin-bottom: 2em">
Python Software for Symbolic Power System Modeling and Numerical Analysis</p>
Rrobust, Efficient and Scalable Power Grid Analysis Framework based on Semi-Analytical Solutions (SAS) Technology</p>
</embed>
****
Home
****
ANDES is a Python-based free software package for power system simulation, control and analysis.
It establishes a unique **hybrid symbolic-numeric framework** for modeling differential algebraic
equations (DAEs) for numerical analysis. Main features of ANDES include
* a unique hybrid symbolic-numeric approach to modeling and simulation that enables descriptive DAE modeling and
automatic numerical code generation
* a rich library of transfer functions and discontinuous components (including limiters, dead-bands, and
saturation) available for prototyping models, which can be readily instantiated as multiple devices for
system analysis
* industry-grade second-generation renewable models (solar PV, type 3 and type 4 wind),
distributed PV and energy storage model
* comes with the Newton method for power flow calculation, the implicit trapezoidal method for time-domain
simulation, and full eigenvalue calculation
* strictly verified models with commercial software. ANDES obtains identical time-domain simulation results for
IEEE 14-bus and NPCC system with GENROU and multiple controller models. See the verification link for details.
* developed with performance in mind. While written in Python, ANDES comes with a performance package and can
finish a 20-second transient simulation of a 2000-bus system in a few seconds on a typical desktop computer
* out-of-the-box PSS/E raw and dyr file support for available models. Once a model is developed, inputs from a
dyr file can be readily supported
* an always up-to-date equation documentation of implemented models
ANDES is currently under active development. To get involved,
* Follow the tutorial at
`https://andes.readthedocs.io <https://andes.readthedocs.io/en/stable/tutorial.html>`_
* Checkout the Notebook examples in the
`examples folder <https://github.com/cuihantao/andes/tree/master/examples>`_
* Try ANDES in Jupyter Notebook
`with Binder <https://mybinder.org/v2/gh/cuihantao/andes/master>`_
* Download the PDF manual at
`download <https://andes.readthedocs.io/_/downloads/en/stable/pdf/>`_
* Report issues in the
`GitHub issues page <https://github.com/cuihantao/andes/issues>`_
* Learn version control with
`the command-line git <https://git-scm.com/docs/gittutorial>`_ or
`GitHub Desktop <https://help.github.com/en/desktop/getting-started-with-github-desktop>`_
* If you are looking to develop models, read the
`Modeling Cookbook <https://andes.readthedocs.io/en/stable/modeling.html>`_
This work was supported in part by the Engineering Research Center Program of
the National Science Foundation and the Department of Energy under NSF Award
Number EEC-1041877 and the `CURENT <https://curent.utk.edu>`_ Industry Partnership Program.
**ANDES is made open source as part of the CURENT Large Scale Testbed project.**
ANDES is developed and actively maintained by `Hantao Cui <https://cui.eecps.com>`_.
See the GitHub repository for a full list of contributors.
PowerSAS.m is a robust, efficient and scalable power grid analysis framework based on **semi-analytical solutions (SAS)** technology.
The PowerSAS.m is the version for MATLAB/Octave users. It currently provides the following functionalities (more coming soon!):
* Steady-state analysis, including power flow (PF), continuation power flow (CPF), contingency analysis.
* Dynamic security analysis, including voltage stability analysis, transient stability analysis, and flexible user-defined simulation.
* Hybrid extended-term simulation provides adaptive QSS-dynamic hybrid simulation in extended term with high accuracy and efficiency.
.. ANDES is a Python-based free software package for power system simulation, control and analysis.
.. It establishes a unique **hybrid symbolic-numeric framework** for modeling differential algebraic
.. equations (DAEs) for numerical analysis. Main features of ANDES include
.. * a unique hybrid symbolic-numeric approach to modeling and simulation that enables descriptive DAE modeling and
.. automatic numerical code generation
.. * a rich library of transfer functions and discontinuous components (including limiters, dead-bands, and
.. saturation) available for prototyping models, which can be readily instantiated as multiple devices for
.. system analysis
.. * industry-grade second-generation renewable models (solar PV, type 3 and type 4 wind),
.. distributed PV and energy storage model
.. * comes with the Newton method for power flow calculation, the implicit trapezoidal method for time-domain
.. simulation, and full eigenvalue calculation
.. * strictly verified models with commercial software. ANDES obtains identical time-domain simulation results for
.. IEEE 14-bus and NPCC system with GENROU and multiple controller models. See the verification link for details.
.. * developed with performance in mind. While written in Python, ANDES comes with a performance package and can
.. finish a 20-second transient simulation of a 2000-bus system in a few seconds on a typical desktop computer
.. * out-of-the-box PSS/E raw and dyr file support for available models. Once a model is developed, inputs from a
.. dyr file can be readily supported
.. * an always up-to-date equation documentation of implemented models
.. ANDES is currently under active development. To get involved,
.. * Follow the tutorial at
.. `https://andes.readthedocs.io <https://andes.readthedocs.io/en/stable/tutorial.html>`_
.. * Checkout the Notebook examples in the
.. `examples folder <https://github.com/cuihantao/andes/tree/master/examples>`_
.. * Try ANDES in Jupyter Notebook
.. `with Binder <https://mybinder.org/v2/gh/cuihantao/andes/master>`_
.. * Download the PDF manual at
.. `download <https://andes.readthedocs.io/_/downloads/en/stable/pdf/>`_
.. * Report issues in the
.. `GitHub issues page <https://github.com/cuihantao/andes/issues>`_
.. * Learn version control with
.. `the command-line git <https://git-scm.com/docs/gittutorial>`_ or
.. `GitHub Desktop <https://help.github.com/en/desktop/getting-started-with-github-desktop>`_
.. * If you are looking to develop models, read the
.. `Modeling Cookbook <https://andes.readthedocs.io/en/stable/modeling.html>`_
.. This work was supported in part by the Engineering Research Center Program of
.. the National Science Foundation and the Department of Energy under NSF Award
.. Number EEC-1041877 and the `CURENT <https://curent.utk.edu>`_ Industry Partnership Program.
.. **ANDES is made open source as part of the CURENT Large Scale Testbed project.**
.. ANDES is developed and actively maintained by `Hantao Cui <https://cui.eecps.com>`_.
.. See the GitHub repository for a full list of contributors.
.. toctree::
:caption: ANDES Manual
:caption: powerSAS.m Manual
:maxdepth: 3
:hidden:

Write Preview
Loading…
Cancel
Save