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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
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...     »
Book / Congress title:
Proceedings of the 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
Date of congress:
17-19 June 2020
Date of publication:
30.07.2020
Year:
2020
Quarter:
3. Quartal
Year / month:
2020-07
Month:
Jul
Reviewed:
ja
Language:
en
Semester:
SS 20
TUM Institution:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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