Rate the Article: MPPT Based on Neural Networks for Solar PV Systems with Real time Irradiance Levels, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Research Paper | Electrical Engineering | India | Volume 12 Issue 12, December 2023 | Rating: 4.5 / 10


MPPT Based on Neural Networks for Solar PV Systems with Real time Irradiance Levels

Samia Zehra


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


Edition: Volume 12 Issue 12, December 2023,


Pages: 210 - 214



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