Maximum power point tracking for a PV system using support vector machine
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Date
2021
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Journal ISSN
Volume Title
Publisher
University of Oum El Bouaghi
Abstract
Since the maximum power point (MPP) of a photovoltaic system changes with the changes in irradiation and temperature, an appropriate maximum power point tracking (MPPT) controller must be applied in the photovoltaic system. In this article, one of the powerful machine learning, support
vector machine (SVM) is used as a predictive model, combining two traditional MPPT methods and the most commonly used: perturb and observation and incremental conductance to force photovoltaic systems to operate more efficiently In different weather conditions. The effectiveness of the proposed method is verified by Mathlab/Simulink simulation.
Description
Keywords
PV system ; MPPT: maximum power point tracking; SVM :support vector machine ; P&O: Perturb and Observe ; INC: Incremental Conductance