Predictive current control implementation of Stand Alone PV inverter

In stand-alone photovoltaic (PV) systems, the main goal is to control the current that the inverter feeds to the load. In this paper, the performance of predictive current control (MPCC) is tested and evaluated for a stand-alone photovoltaic (PV) system. Our evaluation spans various current amplitudes and frequencies, aiming to demonstrate its robust performance and practical applicability. The MPCC method employs a discrete-time model of the system, enabling the prediction of future values of the load current for all potential volt-age vectors generated by the inverter. Implementing the MPCC strategy on RL (resistor-inductor) load alimented by a PV inverter offers the advantage of simplified implementation and significantly reduced computing time. Simulation and experimental results are presented to prove the efficiency and practical applicability of the proposed control. Both results conclusively demonstrate the high efficacy of MPCC in managing a stand-alone photovoltaic (PV) inverter across various current amplitudes and frequencies, ensuring reliable and robust performance

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Publication Details

Journal
Journal of Renewable Energies
Published
2024-09-18
DOI
https://doi.org/10.54966/jreen.v1i1.1269
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictive current control implementation of Stand Alone PV inverter

Linda Hassaine, Fateh Abdoune, Issam Abadlia, Mohamed Rida Bengourina
Journal of Renewable Energies
Microgrid Control and Optimization
article

Predictive current control implementation of Stand Alone PV inverter

Linda Hassaine, Fateh Abdoune, Issam Abadlia, Mohamed Rida Bengourina
article en

Abstract

In stand-alone photovoltaic (PV) systems, the main goal is to control the current that the inverter feeds to the load. In this paper, the performance of predictive current control (MPCC) is tested and evaluated for a stand-alone photovoltaic (PV) system. Our evaluation spans various current amplitudes and frequencies, aiming to demonstrate its robust performance and practical applicability. The MPCC method employs a discrete-time model of the system, enabling the prediction of future values of the load current for all potential volt-age vectors generated by the inverter. Implementing the MPCC strategy on RL (resistor-inductor) load alimented by a PV inverter offers the advantage of simplified implementation and significantly reduced computing time. Simulation and experimental results are presented to prove the efficiency and practical applicability of the proposed control. Both results conclusively demonstrate the high efficacy of MPCC in managing a stand-alone photovoltaic (PV) inverter across various current amplitudes and frequencies, ensuring reliable and robust performance

Journal of Renewable Energies
Renewable Energy Development Center (DZ)
Openalex Percentile: Top 82%
Microgrid Control and Optimization
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Predictive current control implementation of Stand Alone PV inverter — Linda Hassaine, Fateh Abdoune, et al. · Journal of Renewable Energies (2024) | TGRS Research Map | TGRS