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powerSAS.m

Rrobust, Efficient and Scalable Power Grid Analysis Framework based on Semi-Analytical Solutions (SAS) Technology

**** Home **** .. 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. PowerSAS.m ========== **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. Key features ~~~~~~~~~~~~ - **High numerical robustness.** Backed by the SAS approach, the PowerSAS tool provides much better convergence than the tools using traditional Newton-type algebraic equation solvers when solving algebraic equations (AE)/ordinary differential equations (ODE)/differential-algebraic equations(DAE). - **Enhanced computational performance.** Due to the analytical nature, PowerSAS provides model-adaptive high-accuracy approximation, which brings significantly extended effective range and much larger steps for steady-state/dynamic analysis. PowerSAS has been used to solve large-scale system cases with 200,000+ buses. - **Customizable and extensible.** PowerSAS supports flexible customization of grid analysis scenarios, including complex event sequences in extended simulation term. .. 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 `_ .. * Checkout the Notebook examples in the .. `examples folder `_ .. * Try ANDES in Jupyter Notebook .. `with Binder `_ .. * Download the PDF manual at .. `download `_ .. * Report issues in the .. `GitHub issues page `_ .. * Learn version control with .. `the command-line git `_ or .. `GitHub Desktop `_ .. * If you are looking to develop models, read the .. `Modeling Cookbook `_ .. 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 `_ 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 `_. .. See the GitHub repository for a full list of contributors. .. toctree:: :caption: powerSAS.m Manual :maxdepth: 3 :hidden: about.rst basic_usage.rst advanced_usage.rst data_and_models.rst troubleshooting.rst installation.rst sas_basics.rst copyright.rst .. toctree:: :hidden: :caption: API References :maxdepth: 3 Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`