Integrated Model Predictive Control of a Single-Phase Multilevel T-type Converter for a Photovoltaic Grid Connected System under Failure Conditions

• Autorzy: Boudja Wassim , Barra Kamel

Identyfikatory

DOI

10.2478/pead-2023-0011

• Języki publikacji: EN

Abstrakty

EN

The article presents two contributions: the first is an optimised control structure for photovoltaic grid connected systems (PVGCSs). The power chain is composed of two cascaded power converters, namely, a boost converter and a five-level T-type multilevel converter. Traditionally, each power converter is controlled by a separate mode control (SMC) from the other, which is computationally intensive since each converter requires its own control system, which is not practical. The suggested control, called integrated finite set model predictive control (IFS-MPC), allows controlling cascaded converters at the same time in one stage, instead of controlling them separately. Consequently, the overall implementation system is widely reduced. The second contribution of the article is a modified IFS-MPC called modified integrated finite set-model predictive control (M-IFS-MPC), which ensures the correct functioning of the grid-tied PV system under certain faults in converter components. Indeed, when one of the DC-link capacitors fails or when one of the auxiliary switches breaks down, by selecting an appropriate choice of the DC-link capacitors’ voltage reference, the proposed design allows a normal operation without intervention on the power circuit.

Słowa kluczowe

EN

FS-MPC; T-type multilevel converter integrated FS-MPC; photovoltaic grid connected system; predictive incremental conductance method; fault-tolerant; multilevel inverter; fault tolerant PV system

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2023
• Tom: Vol. 8 (43)
• Strony: 142--164
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Boudja Wassim

• LGEA Laboratory, Department of Electrical Engineering, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria

• https://orcid.org/0000-0002-2407-2530

autor

Barra Kamel

• LGEA Laboratory, Department of Electrical Engineering, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).