Efficiency Enhancement of a Solar Photovoltaic Panel by Maximum Power Point Tracking Using Artificial Neural Network Methodology

Owing to the squat overheads, straightforward implementation and performance, specific outcome and devoid of any renewal- the MPPT algorithms by means of a hodgepodge of techniques have witnessed the tremendous acceleration in terms of usefulness in the latest research in particular for solar photovoltaic power generation. MPPT is having such significance as optimization ground for the solar power systems. The function of MPPT is to perk up and optimize the use of the solar power systems and to get the most out of the solar arrangement effectiveness to spawn the utmost power yield. The solar power generation in accordance with the unstable distinctive atmospheric state of affairs, temperature and stellar irradiance fluctuations, the solar panel characteristics exhibits a non-linear graphical depiction thus distressing the effectiveness and efficiency of the entire system. In order to attain the greatest efficiency, it requires utilizing the paramount of the accessible stellar radiations from a position by the application of the diverse MPPT methodologies. The efficiency of a solar panel with MPPT algorithm shows a greater deal of potential owing to its squart asking price and straightforward execution and performance devoid of any sort of equipment updating. The feat of conformist algorithm gets diminished in particular when there is a swift alteration of weathering conditions. The present work advocates the patchy artificial neural network algorithm along with modeling/simulation of diverse outfitted situations. The neural network training is done with error back propagation methodology. This methodology bags the prominence of being very swift and specifically obtaining the maximum power point. However, this is quite appropriate method to stipulate the reference voltage of maximum power point in particular under diverse and rapidly altering weather state of affairs. By the appropriately control of a dc-dc boost converter, the identification of the maximum power point is absolutely viable. Finally, the theoretic investigation, simulation outcome is attained by the application of MATLAB/SIMULINK. The various trends regarding the simulation and investigational plans are presented in a detailed manner. The comparative study and the outcome conceal the effectiveness of the projected MPPT algorithm for the rapidity and precision of the MPP system is also presented extensively.