Sensor-Less Solar Irradiance Estimation and Maximum Power Point Tracking Using Artificial Neural Network

Maximum power point tracking using artificial neural network model has been implemented. Maximum Power point tracking is used to track the maximum power from a PV panel under different conditions. This model is tested for a variety of irradiance from the light source. The proposed ANN-based algorithm does not have any sensor for prediction purpose. In order to cope with real life maximum disturbance, it is tested under non-linear time domain and non-linear condition state as well. That shows noteworthy performance in estimating maximum power point (MPP). It has the competency to predict irradiance and maximum power point(MPP) with a very tiny amount of error using two series neural networks. Simulation results and experimental studies manifest that proposed sensorless ANN-based model has a minor amount of undesired oscillations and much more effective in tacking maximum power under swiftly changing condition.