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ANDES is an open-source Python library for power system modeling, computation, analysis, and control. It supports power flows calculation, transient stability simulation, and small-signal stability analysis for transmission systems. ANDES implements a symbolic-numeric framework for rapid prototyping of differential-algebraic equation-based models. In this framework, a comprehensive :ref:`library of models <modelref>` is developed, including the full second-generation renewable models. Models in ANDES have been :ref:`verified <verification>` with commercial software.
ANDES is the core simulation engine for the CURENT Largescale Testbed (LTB). More information about CURENT LTB can be found at the LTB Repository.
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Getting started
^^^^^^^^^^^^^^^
New to ANDES? Check out the getting started guides. They contain tutorials
to the ANDES command-line interface, scripting usages, as well as guides to
configure ANDES and work with case files.
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Examples
^^^^^^^^
The examples provide in-depth usage of ANDES in a Python scripting
environment. Advanced usage and and power system studies are shown with
explanation.
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Model development guide
^^^^^^^^^^^^^^^^^^^^^^^
Looking to implement new models, algorithms and functionalities in ANDES?
The development guide provides in-depth information on the design
philosophy, data structure, and implementation of the hybrid
symbolic-numeric framework.
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API reference
^^^^^^^^^^^^^
The API reference contains a detailed description of the ANDES package. The
reference describes how the methods work and which parameters can be used.
It assumes that you have an understanding of the key concepts.
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Using ANDES for Research?
^^^^^^^^^^^^^^^^^^^^^^^^^
Please cite our paper [Cui2021]_ if ANDES is used in your research for
publication.
| [Cui2021] | H. Cui, F. Li and K. Tomsovic, "Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis," in IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1373-1384, March 2021, doi: 10.1109/TPWRS.2020.3017019. |
.. toctree:: :caption: ANDES Manual :maxdepth: 3 :hidden: getting_started/index examples/index modeling/index release-notes modelref api