Enhanced Variable Step Perturb & Observe PV MPPT Algorithm

Improved Variable step P&O MPPT in MATLAB

The MATLAB code provided implements the Improved Variable Step Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm for a solar panel system. The algorithm aims to find the optimal voltage at which the solar panel generates the maximum power output.

The algorithm works by iteratively adjusting the reference voltage based on the observed changes in power output. If the power output increases compared to the previous iteration, the reference voltage is increased; otherwise, the reference voltage is decreased. The step size for voltage adjustment is dynamically controlled, getting smaller or larger depending on how the algorithm is performing. This helps the algorithm converge more efficiently and accurately to the maximum power point.

Throughout the iterations, the algorithm continually refines the reference voltage until it reaches a predefined maximum voltage limit. The final achieved reference voltage represents the maximum power point voltage of the solar panel, which results in optimal energy extraction.

Keep in mind that while this code template provides a basic understanding of the Improved Variable Step P&O MPPT algorithm, the actual implementation may require additional considerations, such as handling noisy measurements, ensuring stability, and incorporating real-world hardware interactions.

For more information : www.pirc.co.on

WhatsApp: http://lnkiy.in/pirc-whatsapp