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International Journal of Photoenergy
Volume 2015, Article ID 202986, 10 pages
http://dx.doi.org/10.1155/2015/202986
Research Article

Biaxial Solar Tracking System Based on the MPPT Approach Integrating ICTs for Photovoltaic Applications

1Department of Power and Control Systems, Faculty of Engineering, National University of Asunción, Campus Isla Bogado, 2060 Luque, Paraguay
2Department of Computer Science, Faculty of Engineering, National University of Asunción, Campus Isla Bogado, 2060 Luque, Paraguay

Received 28 November 2014; Revised 19 March 2015; Accepted 24 March 2015

Academic Editor: Francisco A. S. Neves

Copyright © 2015 Raúl Gregor et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The smart grid and distributed generation based on renewable energy applications often involve the use of information and communication technology (ICT) coupled with advanced control and monitoring algorithms to improve the efficiency and reliability of the electrical grid and renewable generation systems. Photovoltaic (PV) systems have been recently applied with success in the fields of distributed generation due to their lower environmental impact where the electrical energy generation is related to the amount of solar irradiation and thus the angle of incident ray of the sun on the surface of the modules. This paper introduces an integration of ICTs in order to achieve the maximum power point tracking (MPPT) using a biaxial solar tracking system for PV power applications. To generate the references for the digital control of azimuth and elevation angles a Global Positioning System (GPS) by satellites is used which enables acquiring the geographic coordinates of the sun in real-time. As a total integration of the system a communication platform based on the 802.15.4 protocol for the wireless sensor networks (WSNs) is adopted for supervising and monitoring the PV plant. A 2.4 kW prototype system is implemented to validate the proposed control scheme performance.