In this work, a computationally efficient approach for the simulation of a DC-DC converter connected to a photovoltaic device is proposed. The methodology is based on a combination of a highly efficient formulation of the one-diode model for photovoltaic (PV) devices and a state-space formulation of the converter as well as an accurate steady-state detection methodology. The approach was experimentally validated to assess its accuracy. The model is accurate both in its dynamic response (tested in full linearity and with a simulated PV device as the input) and in its steady-state response (tested with an outdoor experimental measurement setup). The model detects automatically the reaching of a steady state, thus resulting in lowered computational costs. The approach is presented as a mathematical model that can be efficiently included in a large simulation system or statistical analysis.

Computationally Efficient Modeling of DC-DC Converters for PV Applications / Corti, Fabio; Laudani, Antonino; Lozito, Gabriele Maria; Reatti, Alberto. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 13:(2020), pp. 1-18. [10.3390/en13195100]

Computationally Efficient Modeling of DC-DC Converters for PV Applications

Corti, Fabio;Lozito, Gabriele Maria;Reatti, Alberto
Supervision
2020

Abstract

In this work, a computationally efficient approach for the simulation of a DC-DC converter connected to a photovoltaic device is proposed. The methodology is based on a combination of a highly efficient formulation of the one-diode model for photovoltaic (PV) devices and a state-space formulation of the converter as well as an accurate steady-state detection methodology. The approach was experimentally validated to assess its accuracy. The model is accurate both in its dynamic response (tested in full linearity and with a simulated PV device as the input) and in its steady-state response (tested with an outdoor experimental measurement setup). The model detects automatically the reaching of a steady state, thus resulting in lowered computational costs. The approach is presented as a mathematical model that can be efficiently included in a large simulation system or statistical analysis.
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1
18
Goal 9: Industry, Innovation, and Infrastructure
Corti, Fabio; Laudani, Antonino; Lozito, Gabriele Maria; Reatti, Alberto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1207219
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