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2.7 KiB
2.7 KiB
PowerSAS.m
Documentation
What is 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.
Installation
1. System requirements
Matlab (7.1 or later) or GNU Octave (4.0.0 or later).
2. Installation
- Extract source code to a directory.
- Enter the directory in Matlab or GNU Octave.
- Execute command
setup. You will see the following sub-directories:/data: Stores test system data, simulation settings data, etc./example: Some examples of using PowerSAS.m./output: Stores test result data./internal: Internal functions of PowerSAS.m computation core./util: Auxiliary functions including data I/O, plotting, data conversion, etc./logging: Built-in logging system./doc: Documentation.
3. Test
- Execute command
initpowersasto initialize the environment, then executetest_powersasto run tests. You should expect all tests to pass.
4. Initialization
To initialize PowerSAS.m, add the main directory of PowerSAS.m to your Matlab or GNU Octave path and run the command initpowersas. This will ensure that all the functions of PowerSAS.m are added to the path and thus callable.