Fuzzy Logic Based Variable Step Size P&O for PV MPPT

Version 1.0.0 (1.73 KB) by PIRC
MATLAB script for implementing a Fuzzy Logic Based Variable Step Size Perturb and Observe (P&O) MPPT Algorithm for a photovoltaic system:
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Updated 11 Aug 2023

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The provided MATLAB script implements a Fuzzy Logic Based Variable Step Size Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm for a photovoltaic system. The algorithm aims to efficiently find the optimal voltage at which the solar panel generates maximum power output.
The script iteratively adjusts the reference voltage based on fuzzy logic rules that assess the change in power output between iterations. The fuzzy logic system evaluates the degree of power change to determine the appropriate step adjustment. This dynamic adjustment helps the algorithm converge more effectively toward the maximum power point.
The algorithm continuously refines the reference voltage until it reaches a predefined maximum voltage limit. The final achieved reference voltage corresponds to the solar panel's maximum power point voltage, optimizing energy extraction.
Remember that while this script provides a basic understanding of the Fuzzy Logic Based Variable Step Size P&O MPPT algorithm, fine-tuning fuzzy logic rules and membership functions to match your photovoltaic system's characteristics is essential for accurate and efficient performance.
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Cite As

PIRC (2024). Fuzzy Logic Based Variable Step Size P&O for PV MPPT (https://www.mathworks.com/matlabcentral/fileexchange/133702-fuzzy-logic-based-variable-step-size-p-o-for-pv-mppt), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0