DocumentCode :
2448451
Title :
Behavioral modeling of current controled inverters for large signal analysis
Author :
Valdivia, V. ; Lázaro, A. ; Barrado, A. ; Sanz, M. ; Raga, C. ; Fernández, C.
Author_Institution :
Power Electron. Syst. Group, Univ. Carlos III of Madrid, Leganes
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
590
Lastpage :
595
Abstract :
In last years, the number of power systems with multiple converters and loads is increasing. Simulation tools are usually needed in order to carry out the analysis of the stability and the large signal response of these power systems. When the power systems are composed of commercial converters whose internal structure is unknown, the use of behavioral models is necessary in order to carry out the simulations. That kind of models can be characterized by means of manufacturer datasheets and/or experimental measurements, carried out over the converters. Therefore, a detailed knowledge of the converter internal structure is not necessary. In this paper a new behavioral modeling of current controlled inverters is presented. The proposed approach allows modeling the large signal response of the converter. The required simulation time is optimized and the characterization procedure is easy, due to the model simplicity.
Keywords :
invertors; network analysis; power convertors; power system simulation; power system stability; behavioral modelling; current controlled inverters; current modelling; large signal analysis; power system stability; Analytical models; Industrial power systems; Inverters; Power system analysis computing; Power system measurements; Power system modeling; Power system simulation; Power system stability; Signal analysis; Stability analysis; Behavioral model; Converter modeling; current controlled; grid connected; inverter; large signal; three phase;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4758020
Filename :
4758020
Link To Document :
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