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- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Mostafa Ahmed, Ibrahim Harbi, Ralph Kennel, Mohamed Abdelrahem
- Title:
- Predictive Fixed Switching Maximum Power Point Tracking Algorithm with Dual Adaptive Step-Size for PV Systems
- Abstract:
- Maximum power point tracking (MPPT) is an essential and primary objective in photovoltaic (PV) systems implementation. Thus, in this article, the predictive fixed switching MPPT technique is proposed for a two-stage PV system, where the system under consideration consists of a PV source, boost converter, and two-level inverter. The MPPT design is based on dual adaptive step-size realization to limit the duty cycle oscillations at a steady state. Furthermore, the PI controller is eliminated, which simplifies the MPPT implementation. The suggested tuning procedure of the duty cycle is compared with the conventional adaptive step-size perturb and observe (P&O) method. The inverter is controlled using an efficient finite-set model predictive control (FS-MPC) algorithm with reduced computation burden, where the optimal switching state vector is identified based on the polarity of the reference voltage in the α-β reference frame and without any need for sector determination. Furthermore, the cost function of the FS-MPC algorithm is modified to include the reduction of the switching frequency as a secondary objective for the inverter control. The overall control methodology is evaluated using experimental results at different operating conditions.
- Journal title:
- Electronics
- Year:
- 2021
- Year / month:
- 2021-12
- Quarter:
- 4. Quartal
- Month:
- Dec
- Journal issue:
- Electronics 10, no. 24
- Pages contribution:
- p. 3109
- Reviewed:
- ja
- Language:
- en
- Fulltext / DOI:
- doi:https://doi.org/10.3390/electronics10243109
- WWW:
- https://doi.org/10.3390/electronics10243109
- Publisher:
- MDPI
- Date of publication:
- 14.12.2021
- Semester:
- WS 21-22
- TUM Institution:
- Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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