Research of MPPT Using Support Vector Machine for PV System

De Da Sun; Da Hai Zhang; Yang Liu

doi:10.4028/www.scientific.net/AMM.441.268

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Research of MPPT Using Support Vector Machine for PV System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Research of MPPT Using Support Vector Machine for...

Research of MPPT Using Support Vector Machine for PV System

Abstract:

Photovoltaic (PV) power systems are widely used today, so its useful to study how to make the PV maximum power output. In this paper a novel approach based on Support Vector Machine (SVM) for maximum power point tracking (MPPT) of PV systems is presented. The output power characteristics of PV cells vary with solar irradiation and temperature, so the controllers inputs is the level of solar radiation and ambient temperature of the PV module, and the voltage at maximum power point (MPP) is the output. Results show that the proposed MPPT controller based on SVM is sensitive to environmental changes and has high efficiency and less Mean Square Error (MSE).

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Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

268-271

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.268

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Online since:

December 2013

Authors:

De Da Sun, Da Hai Zhang, Yang Liu

Keywords:

Maximum Power Point Tracking (MPPT), Photovoltaic (PV) System, Renewable Energy, Support Vector Machine (SVM)

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