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- W4386316968 abstract "Abstract Flexible power point tracking (FPPT) is incorporated in photovoltaic (PV) systems to enhance the quality and reliability of electricity generation while minimizing grid disruptions and overloads. Grid-friendly systems that contribute to grid control can be developed by modifying maximum power point tracking (MPPT) algorithms. However, the widely used perturb and observe (PO) method for FPPT (FPPT-PO) suffers from oscillations around steady-state operating points, which can be problematic. Moreover, solutions provided in previous studies on FPPT algorithms that address partial shading conditions (PSC) are limited. This study proposes a reliable and sustainable FPPT-PSO algorithm that utilizes the principles of particle swarm optimization (PSO). It involves a power limitation control approach that prevents oscillations at steady-state operating points under PSC and avoids being ensnared at a local maximum power point (MPP). Additionally, the suggested FPPT-PSO algorithm detects changes in power requirements or irradiation conditions. The proposed FPPT-PSO algorithm outperforms other state-of-the-art solutions under PSC, providing more precise PV system performance and avoiding grid disruption and overload. The suggested method is evaluated using MATLAB/Simulink and precise tracking of the global MPP is demonstrated. Drawing on the simulation outcomes, the proposed FPPT-PSO algorithm can perfectly follow the flexible power point (FPP) without fluctuating around a steady-state operating point under PSC." @default.
- W4386316968 created "2023-09-01" @default.
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- W4386316968 date "2023-08-31" @default.
- W4386316968 modified "2023-09-30" @default.
- W4386316968 title "Enhancing PV System Grid Stability Through Reliable Flexible Power Point Tracking Under Partial Shading" @default.
- W4386316968 doi "https://doi.org/10.21203/rs.3.rs-3313503/v1" @default.
- W4386316968 hasPublicationYear "2023" @default.
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