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Deepak
Vikash Kumar Yadav
Dr. Bharat Bhushan Jain
Keywords:
Maximum Power Point Tracking (MPPT), Solar Photovoltaic (PV), Wind Energy, Hybrid Renewable Energy System, Grid Integration, Perturb and Observe (P&O), Incremental Conductance (I&C), Intelligent MPPT Control.
Abstract:
The increasing demand for reliable, sustainable, and environmentally friendly electricity has accelerated the integration of renewable energy sources into modern power systems. Among the available renewable resources, solar PV and wind energy have gained significant attention due to their abundance, low environmental impact, and suitability for distributed and grid-connected power generation. However, the intermittent and variable nature of solar irradiance and wind speed presents significant challenges in extracting maximum available power from these sources. Maximum Power Point Tracking (MPPT) techniques are therefore essential for improving the energy conversion efficiency of hybrid solar PV–wind energy systems. This review paper presents a comprehensive study of MPPT techniques used in grid-integrated hybrid solar PV–wind energy systems. Various conventional and advanced MPPT methods, including Perturb and Observe (P&O), Incremental Conductance (I&C), Hill Climbing, fuzzy logic control, artificial neural network (ANN)-based methods, and other intelligent and optimization-based techniques, are reviewed and compared. The operating principles, tracking accuracy, convergence speed, computational complexity, sensor requirements, cost, and performance under rapidly changing irradiance and wind conditions are discussed. Particular attention is given to the challenges associated with multiple maximum power points, partial shading, fluctuating wind conditions, and dynamic grid operating conditions. The review also examines the role of MPPT controllers in improving the overall efficiency, stability, and power quality of grid-integrated hybrid renewable energy systems. Finally, the comparative analysis identifies the major advantages and limitations of different MPPT approaches and highlights potential research directions for developing faster, more accurate, robust, and computationally efficient MPPT techniques for future hybrid solar PV–wind energy applications.
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International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XIX, Issue 3
September 2026
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PUBLISHED
September 2026
ISSUE
Vol. XIX, Issue 3
SECTION
Articles
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