Review On Ai Based Global Maximum Power Point Tracking Mppt For Grid Connected Photovoltaic System Under Partial Shading Condition

Authors

  • Sanskar Agrawal, Anupam Bhai Patel

Keywords:

Global MPPT, Partial Shading, Maximum Power Point Tracking, Solar Power Conversion, Solar Photovoltaic, Renewable Energy System

Abstract

The photovoltaic system is one of the renewable energy devices, which directly converts solar radiation into electricity. The I-V characteristics of PV system are nonlinear in nature and under variable Irradiance and temperature, PV system has a single operating point where the power output is maximum, known as Maximum Power Point (MPP) and the point varies on changes in atmospheric conditions and electrical load. Maximum Power Point Tracker (MPPT) is used to track MPP of solar PV system for maximum efficiency operation. The various MPPT techniques together with implementation are reported in literature. In order to choose the best technique based upon the requirements, comprehensive and comparative study should be available. The aim of this paper is to present a comprehensive review of various MPPT techniques for uniform insolation and partial shading conditions. Furthermore, the comparison of practically accepted and widely used techniques has been made based on features, such as control strategy, type of circuitry, number of control variables and cost. This review work provides a quick analysis and design help for PV systems.

References

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How to Cite

Sanskar Agrawal, Anupam Bhai Patel. (2026). Review On Ai Based Global Maximum Power Point Tracking Mppt For Grid Connected Photovoltaic System Under Partial Shading Condition. International Journal of Research & Technology, 14(3), 391–401. Retrieved from https://ijrt.org/j/article/view/1658

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