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Title:

An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Mostafa Ahmed ; Mohamed Abdelrahem ; Ralph Kennel ; Christoph M. Hackl
Abstract:
This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (P&O) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.
Book / Congress title:
Proceedings of the 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC2020)
Date of congress:
February 4-6, 2020
Publisher:
IEEE
Year:
2020
Quarter:
1. Quartal
Year / month:
2020-02
Month:
Feb
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi: 10.1109/PEDSTC49159.2020.9088385
Semester:
WS 19-20
TUM Institution:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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