Highly Efficient and Robust Grid Connected Photovoltaic System Based Model Predictive Control with Kalman Filtering Capability

Ahmed, Mostafa; Abdelrahem, Mohamed; Kennel, Ralph

doi:10.3390/su12114542

Titel:: Highly Efficient and Robust Grid Connected Photovoltaic System Based Model Predictive Control with Kalman Filtering Capability
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Ahmed, Mostafa; Abdelrahem, Mohamed; Kennel, Ralph
Abstract:: Renewable energy sources, especially photovoltaic (PV) ones, are gaining more and more interest due to the predicted lack of conventional sources over the coming years. That shortage is not the only concern, as environmental issues add to this concern also. Thus, this study proposes two-stage PV grid connected system, which is supported with extended Kalman filter (EKF) for parameter estimation. In the first stage, maximum power point tracking (MPPT) for the boost converter is accomplished using new MPPT method in which the switching state of the converter is directly generated after the measurement stage, so it is called direct switching MPPT technique. This technique is compared with the conventional finite control set model predictive control (FCS-MPC) method, where the design of the cost function is based on minimizing the error between the reference and the actual current. The reference current is obtained by employing perturb and observe (P&O) method. In the second stage, the two-level inverter is controlled by means of model predictive control (MPC) with reduced computation burden. Further, to overcome the parameter variations, which is a very common problem in MPC applications, an extended Kalman filter is utilized to eliminate the control algorithm’s dependency on the parameters by providing an efficient estimation. After the inverter, an RL filter is inserted to guarantee the quality of the currents injected into the grid. Finally, the system is validated using Matlab under different operating conditions of atmospheric variation and parameter changes.
Zeitschriftentitel:: Sustainability
Jahr:: 2020
Jahr / Monat:: 2020-06
Quartal:: 2. Quartal
Monat:: Jun
Heft / Issue:: Volume 12, Issue 11 (4542)
Reviewed:: ja
Sprache:: en
Volltext / DOI:: doi:10.3390/su12114542
WWW:: https://doi.org/10.3390/su12114542
Verlag / Institution:: MDPI
Publikationsdatum:: 03.06.2020
Semester:: SS 20
TUM Einrichtung:: Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Engineering and Design Departments Energy and Process Engineering Lehrstuhl für Hochleistungs-Umrichtersysteme (Prof. Heldwein)2020 Textbeiträge mit Review

mediaTUM Gesamtbestand Hochschulbibliographie 2020 Fakultäten Elektrotechnik und Informationstechnik Elektrische Antriebssysteme und Leistungselektronik (Prof. Kennel)