| Autor: |
Vanfretti, Luigi, Baudette, Maxime, Amazouz, Achour, Bogodorova, Tetiana, Rabuzin, Tin, Lavenius, Jan, Goméz-López, Francisco José |
| Zdroj: |
SoftwareX; January 2016, Vol. 5 Issue: 1 p144-149, 6p |
| Abstrakt: |
This paper describes the Rapid Parameter Identification toolbox (RaPId), developed within the EU FP7 iTeslaproject. The toolbox was designed to carry out parameter identification on models developed using the Modelica language, focusing in particular on power system model identification needs. The toolbox has been developed with modularity and extensibility in mind, using Matlab/Simulinkas a plug-in environment, where different tasks of the identification process are carried out. The identification process uses different optimization algorithms to improve the fitting of the model’s response to selected criteria. The modular architecture of RaPIdgives users complete freedom to extend and adapt the software to their needs, e.g. to implement or link external solvers for simulation or optimization. The compatibility with Modelica models is brought by the use of technologies compliant with the Functional Mock-up Interface (FMI) standard. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
