Tracking Power Photovoltaic System using Artificial Neural Network Control Strategy

Abstract

Abstract-Photovoltaic generation is the technique which uses photovoltaic cell to convert solar energy to electric energy. Nowadays, PV generation is developing increasingly fast as a renewable energy source. However, the disadvantage is that PV generation is intermittent because it depends considerably on weather conditions. This paper proposes an intelligent control method for the maximum power point tracking (M PPT) of a photovoltaic system under variable temperature and solar irradiation conditions. In this paper, a simulation study of the maximum power point tracking (M PPT) for a photovoltaic system using an artificial neural network is presented. The system simulation is elaborated by combining the models established of solar PV module and a DC/DC Boost converter. Finally performance comparison between artificial neural network controller and Perturb and Observe method has been carried out which has shown the effectiveness of artificial neural networks controller to draw much energy and fast response against change in working conditions.

Investigation of Closed Loop Control for Interleaved Boost Converter with Ripple Cancellation Network for Photovoltaic Applications

“…Based on the simulation parameters, the proposed converter is simulated in open loop and closed operation and the results are presented below: The output waveform for IBC with RCN was observed as shown in Fig.9. Fig.11a shows that the input current ripple reduces as the coupling coefficient increases [14][15][16][17] and for this work, the value of K is chosen as 0.61.…”

Grid integrated PV system with different controlling MPPT techniques

“…Here we take one optimum output voltage regarding to this in hidden layer the data is updates and try to match that reference optimum voltage and by this comparison also updating going to reduce the error in between actual and optimum value of voltage. This entire process seen in the figure 7 and 8 that how does the neural network is working [6]. …”

Electrical Characterization of a Photovoltaic Module Through Artificial Neural Network: A Review

“…M.T. Makhloufi et al [22] propose an intelligent control method for MPPT of a photovoltaic system under variable temperature and solar irradiation conditions using ANN. B. Garcia-Domingo et al [24] in their work applied multilayered perceptron models to generate I-V curves of one of the most extended commercial modules of concentrating PV technology using the influential atmospheric variables as input to the network.…”