@ -5,7 +5,7 @@ Semi-analytical solutions (SAS) is a family of computational methods that uses c
### 2. What are the advantages of SAS?
### 2. What are the advantages of SAS?
In power system modeling and analysis, SAS has proven several features:
In power system modeling and analysis, SAS has been proven to have the following features:
* **High numerical robustness.** Steady-state analysis usually requires solving nonlinear algebraic equations. Traditional tools usually use Newton-Raphson method or its variants, whose results can be highly dependent on the selection of starting point and they suffer from non-convergence problem. In contrast, SAS provides much better convergence thanks to the high-level analytical nature.
* **High numerical robustness.** Steady-state analysis usually requires solving nonlinear algebraic equations. Traditional tools usually use Newton-Raphson method or its variants, whose results can be highly dependent on the selection of starting point and they suffer from non-convergence problem. In contrast, SAS provides much better convergence thanks to the high-level analytical nature.
@ -53,4 +53,4 @@ The figure shows the percentage of correct results using different tools. It can
We also compared the computation speeds of PowerSAS.m and PSS/E. The figure below shows the average contingency analysis computation time of on the 458-bus system. The results show that SAS’s speed is comparable to and even faster than PSS/E’s.
We also compared the computation speeds of PowerSAS.m and PSS/E. The figure below shows the average contingency analysis computation time of on the 458-bus system. The results show that SAS’s speed is comparable to and even faster than PSS/E’s.