Artifi cial Neural Network based Maximum Powerpoint Tracking of Solar Panel
نویسنده
چکیده
Maximum Power Point Tracking (MPPT) is necessary for Solar Photo Voltaic (SPV) system. Many algorithms such as Perturb and Observe, Incremental conductance and hill climbing are available to track the maximum power. But they have disadvantages such as high cost, diffi cult to implement and instable. Artifi cial Neural Network (ANN) is suitable for handling non-linearites, uncertainties and parameter variations in a controlled environment. The data for training neural network is determined from the simulation result of SPV array. The temperature (T) and insolation (G) are input variables to ANN and the output variable is the voltage (V) corresponding to the maximum power. This technique is implemented in the MATLAB environment.
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