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MPPT for PV using PSO

version 1.0.0.0 (237 KB) by Bartlomiej Ufnalski
A novel hybrid maximum power point tracking (MPPT) concept is demonstrated.

6.7K Downloads

Updated 21 Dec 2017

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A part-stochastic (PSO) part-deterministic (HC, hill climbing) algorithm is employed to facilitate MPPT under partial shading conditions. The relevant paper is available at http://www.ped.pwr.edu.pl/pdf-80969-16967?filename=Hybrid%20MPPT%20algorithm%20for.pdf. The accompanying model has been developed by my colleague Karol Basinski. The search algorithm is similar to https://www.mathworks.com/matlabcentral/fileexchange/64056-hybrid-swarm-based-repetitive-controller-with-adaptive-forgetting-for-a-grid-tie-converter. If you are interested in PV modeling, there is also https://www.mathworks.com/matlabcentral/fileexchange/48319-photovoltaic-module-explicit-neural-model to help you start the adventure.

Cite As

Bartlomiej Ufnalski (2021). MPPT for PV using PSO (https://www.mathworks.com/matlabcentral/fileexchange/64629-mppt-for-pv-using-pso), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
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