Application of Artificial Neural Networks for Maximum Power Point Tracking of Photovoltaic Panels

Authors

  • D. Vasarevicius Vilnius Gediminas Technical University
  • R. Martavicius Vilnius Gediminas Technical University
  • M. Pikutis Vilnius Gediminas Technical University

DOI:

https://doi.org/10.5755/j01.eee.18.10.3065

Keywords:

Photovoltaic cells, artificial neural networks, adaptive algorithm, sensitivity

Abstract

Maximum power point tracking technique for PV panels with support of online learning artificial neural network is offered. Mathematical model of the system is implemented in Matlab/Simulink environment. Maximum power point tracking is performed using IncCond algorithm and radial basis function artificial neural network. Several criteria for estimation of system performance were derived. It is shown that ANN can increase overall system efficiency by 10%.

DOI: http://dx.doi.org/10.5755/j01.eee.18.10.3065

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Published

2012-12-10

How to Cite

Vasarevicius, D., Martavicius, R., & Pikutis, M. (2012). Application of Artificial Neural Networks for Maximum Power Point Tracking of Photovoltaic Panels. Elektronika Ir Elektrotechnika, 18(10), 65-68. https://doi.org/10.5755/j01.eee.18.10.3065

Issue

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY