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Titel:

Maximum Power Point Tracking Based Model Predictive Control and Extended Kalman Filter Using Single Voltage Sensor for PV Systems

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Mostafa Ahmed ; Mohamed Abdelrahem ; Ralph Kennel ; Christoph M. Hackl
Abstract:
The variability of photovoltaic (PV) energy because of atmospheric conditions dependency necessitates employing a maximum power point tracking (MPPT) technique in the installed PV systems. So in this paper, finite control set model predictive control (FCS-MPC) is used to extract the maximum power from the PV source using a boost converter as interfacing circuit. The proposed technique combines FCS-MPC with an extended Kalman filter (EKF) to reduce the number of required sensors. The EKF is used...     »
Kongress- / Buchtitel:
Proceedings of the 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
Datum der Konferenz:
17-19 June 2020
Publikationsdatum:
30.07.2020
Jahr:
2020
Quartal:
3. Quartal
Jahr / Monat:
2020-07
Monat:
Jul
Reviewed:
ja
Sprache:
en
Semester:
SS 20
TUM Einrichtung:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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