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

Downloads

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

Vol. 18 No. 10 (2012)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.