Title :
Power system model identification exploiting the Modelica language and FMI technologies
Author :
VANFRETTI, LUIGI ; Bogodorova, T. ; Baudette, M.
Author_Institution :
Electr. Power Syst. Dept., KTH R. Inst. of Technol., Stockholm, Sweden
Abstract :
This article provides an overview of the work performed at SmarTS Lab on power system modeling and system identification within the FP7 iTesla project. The work was performed using Modelica as the modeling language for phasor time domain simulation and FMI (Flexible Mock-up Interface) Technologies for coupling Modelica models with simulation and optimization tools. The article focuses on use case examples of these Modelica models in an FMI driven environment to perform parameter identification.
Keywords :
power system identification; power system simulation; FMI technology; FP7 iTesla project; Modelica language; flexible mock-up interface; power system model identification; power system modeling; system identification; Aggregates; Load modeling; Mathematical model; Optimization; Reactive power; Software packages; Modelica FMI; model identification; parameter estimation; system identification;
Conference_Titel :
Intelligent Energy and Power Systems (IEPS), 2014 IEEE International Conference on
Conference_Location :
Kyiv
Print_ISBN :
978-1-4799-2265-9
DOI :
10.1109/IEPS.2014.6874164
