A Novel Hybrid Approach for Global Maximum Power Point Tracking in Standalone PV Systems
Received: 29 July 2024 | Revised: 31 August 2024 and 7 September 2024 | Accepted: 8 September 2024 | Online: 25 September 2024
Corresponding author: C. Prasanth Sai
Abstract
The efficiency of Photo-Voltaic (PV) systems is highly dependent on their ability to accurately track the Global Maximum Power Point (GMPP) under varying environmental conditions. Traditional Maximum Power Point Tracking (MPPT) methods often struggle with issues such as slow tracking speed, susceptibility to local maxima, and the need for complex parameter tuning, particularly in dynamically changing environments with Partial Shading Conditions (PSCs) and rapid irradiation changes. To address these challenges, this study introduces a hybrid approach that combines a modified Rao algorithm with the Perturb and Observe (P&O) method. The modified Rao algorithm was employed in the initial tracking stages to quickly locate the global vicinity, benefiting from its simplicity and the absence of algorithm-specific parameters, whereas the P&O method ensured precise tracking in the final stages. The performance of the proposed method was assessed on a PV array subjected to PSCs and compared with several well-known MPPT algorithms, such as Gray Wolf Optimization (GWO), JayaDE, and the Slime Mould Algorithm (SMO). The proposed approach was implemented and analyzed using the MATLAB/Simulink software.
Keywords:
solar PV system, partial shading, maximum power point tracking, modified Rao algorithm, global maximum power pointDownloads
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Copyright (c) 2024 C. Prasanth Sai, M. Vijaya Kumar
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