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# PowerSAS.m
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**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!):
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* **Steady-state analysis**, including power flow (PF), continuation power flow (CPF), contingency analysis.
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* **Dynamic security analysis**, including voltage stability analysis, transient stability analysis, and flexible user-defined simulation.
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* **Hybrid extended-term simulation** provides adaptive QSS-dynamic hybrid simulation in extended term with high accuracy and efficiency.
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### Key features
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* **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).
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* **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.
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* **Customizable and extensible.** PowerSAS supports flexible customization of grid analysis scenarios, including complex event sequences in extended simulation term.
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### Citing
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If you are using **PowerSAS.m** in research work to be published, please include explicit citation of our work in your publication. Please place the following entries in your bibliography:
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[1]. J. Liu, R. Yao, F. Qiu, Y. Liu and K. Sun, "PowerSAS.m – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies," in IEEE Open Access Journal of Power and Energy, In Press.
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The corresponding BiBTex citations are given below:
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@ARTICLE{powersas,
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author={Liu, Jianzhe and Yao, Rui and Qiu, Feng and Liu, Yang and Sun, Kai},
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journal={IEEE Open Access Journal of Power and Energy},
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title={PowerSAS.m – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies},
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year={2023},
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doi={10.1109/OAJPE.2023.3245040}
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}
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