MPPT Based on Neural Networks for Solar PV Systems with Real time Irradiance Levels
Abstract: Solar energy is one of the prominent forms of renewable energy sources that can be used to replace the requirement of fossil fuels up to a certain extent. To harvest solar energy, a photovoltaic (PV) with higher efficiency is required. In order to achieve this higher efficiency of solar PV, it is required to trace the maximum power point (MPP) with a simultaneous change in irradiation and temperature. This article focuses on the achievement of MPP tracking of solar PV through a neural network-based intelligent technique which provides a more accurate and efficient response than conventional techniques like IC (incremental conductance) technique. Mathematical modeling of solar PV is also included in this article.
Keywords: MPPT, Photovoltaic, Neural network, PV modeling, incremental conductance
How to Cite?: Samia Zehra, "MPPT Based on Neural Networks for Solar PV Systems with Real time Irradiance Levels", Volume 12 Issue 12, December 2023, International Journal of Science and Research (IJSR), Pages: 210-214, https://www.ijsr.net/getabstract.php?paperid=MR231201210627, DOI: https://dx.doi.org/10.21275/MR231201210627