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Electrical Engineering

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30.08.2021 | Original Paper

Model predictive control and ANN-based MPPT for a multi-level grid-connected photovoltaic inverter

verfasst von: Hemza Bouaouaou, Djaafer Lalili, Nasserdine Boudjerda

Erschienen in: Electrical Engineering | Ausgabe 3/2022

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Abstract

This paper deals with the control of a five-level grid-connected photovoltaic inverter. Model Predictive Control is applied for controlling active and reactive powers injected into the grid. The operation of the photovoltaic field at the maximum power point is ensured using an algorithm based on a neural network. Model Predictive Control is based on the choice of inverter state by minimizing a cost function that depends on active and reactive powers. In addition, the redundant states of the inverter are directly utilized to balance the bus voltages of the inverter, making overall system control simple and efficient.

Vorheriger Artikel Nonlinear behavior of wireless power transfer systems: modeling, analysis, and experimental verification

Nächster Artikel Research on output power stability control method of EV-DWPT system

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Titel: Model predictive control and ANN-based MPPT for a multi-level grid-connected photovoltaic inverter
verfasst von: Hemza Bouaouaou
Djaafer Lalili
Nasserdine Boudjerda
Publikationsdatum: 30.08.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Electrical Engineering / Ausgabe 3/2022
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-021-01355-w

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