Design and Implementation of Dual Axis Solar Tracker system based on the Combination of the Modified P&O Technique and MLP Neural Network Optimization

The position of the sun is not static. As a result, the incidence angle and performance of the solar panel change with time. A solar tracker system is a particular device to move the PV modules in such a way in order to maximize the irradiation received by the PV module. Dual axes trackers track the sun regardless of the sun's path. This paper proposed a fast and accurate technique to locate the sun path through dual-axis sun tracker. The proposed method reduced the tracking time (TT), which leads to decrease in power consumption and improvement of the dynamic performance. The controlling scheme is closed-loop which is combined with Multi-Layer Perceptron (MLP) neural network and Perturbation & Observation (P&O). The results which were obtained by experiment were able to show the validity and effectiveness of the proposed method.

کلیدواژه ها:

Perturbation & Observation (P&O) ، dual-axis solar tracker ، neural network optimization ، Modified Particular Swarm Optimization (MPSO) method ، Maximum Power Point Tracking ، Solar PV