OPTIMIZATION TECHNIQUES FOR PARTIALLY SHADED PHOTO-VOLTAIC ARRAYS
Alternative Sources of Energy
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We have implemented a hybrid maximum power point tracking method for photo-voltaic scheme under partly shaded circumstances. The method proposed is capable of combining artificial neural network (ANN) with standard MPPT method such as perturb and observe. By considering the voltage of its limits based on ANN, the fresh hybrid MPPT algorithm is used to anticipate GMPP region. At the same time, the standard MPPT algorithm is searching for MPP in the expected region. The fresh MPPT technique is simulated and modeled using MATLAB/Simulink.Compared to ANN, the newly suggested technique demonstrates...
We have implemented a hybrid maximum power point tracking method for photo-voltaic scheme under partly shaded circumstances. The method proposed is capable of combining artificial neural network (ANN) with standard MPPT method such as perturb and observe. By considering the voltage of its limits based on ANN, the fresh hybrid MPPT algorithm is used to anticipate GMPP region. At the same time, the standard MPPT algorithm is searching for MPP in the expected region. The fresh MPPT technique is simulated and modeled using MATLAB/Simulink.Compared to ANN, the newly suggested technique demonstrates better efficiency and precision with a rapid response to GMPP tracking in the expected region, thus improving the amount of output energy for photovoltaic arrays under partly shaded conditions.
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