Improvement of the performance of a grid connected photovoltaic system by direct power control strategy with a new switching table
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Abstract
Solar energy is the most powerful permanent,
clean and renewable energy source that has the potential of
changing the future of the world. The use of solar energy,
principally photovoltaic, for different applications mainly
electrical grid, is well suited for most rural areas due to the
lack of electrification, but also for a large number of the
countries around the world. Here, we propose a strategy for
optimizing the performance of a grid-connected
photovoltaic power system. To achieve this, we used the
maximum power point tracking (MPPT) control method
based on the fuzzy logic controlled. To control and improve
the performances of a voltage source inverter for grid
connected photovoltaic systems, we used the newly
developed direct power control technique. We created
simulations of the proposed approach MATLAB / Simulink
and found very interesting results compared to the existing
control strategies in this field.
clean and renewable energy source that has the potential of
changing the future of the world. The use of solar energy,
principally photovoltaic, for different applications mainly
electrical grid, is well suited for most rural areas due to the
lack of electrification, but also for a large number of the
countries around the world. Here, we propose a strategy for
optimizing the performance of a grid-connected
photovoltaic power system. To achieve this, we used the
maximum power point tracking (MPPT) control method
based on the fuzzy logic controlled. To control and improve
the performances of a voltage source inverter for grid
connected photovoltaic systems, we used the newly
developed direct power control technique. We created
simulations of the proposed approach MATLAB / Simulink
and found very interesting results compared to the existing
control strategies in this field.