Research Article Open Access

A Real-Time Optimization Approach to the Efficiency of a Photovoltaic System by a Hybrid Tracking Technique using LabVIEW

Mohamed Redha Rezoug1 and Rachid Chenni2
  • 1 Departement of Electrical Engineering, Université Kasdi Merbah Ouargla, Algeria
  • 2 MoDERNa Laboratory, Mentouri University-Constantine, Algeria

Abstract

Among the lines of research on improving the efficiency of a photovoltaic panel, sun tracking techniques occupy a large part. In this article, an extension of Laboratory Virtual Instrument Engineering Workbench (LabVIEW); LabVIEW Interface For Arduino (LIFA) is used. It allows the driving of an Arduino board from LabVIEW, on which a collaboration technique between two categories of pursuit is developed: The first is sensory and the second is pre-programmed. This hybrid two-axis technique is characterized by impulse control strategist with pre-programmed control and dual sensory correction. The results reveal that the hybrid tracking system gave an additional energy gain of about 36% compared to a fixed photovoltaic panel system. Thus, it has practically a percentage increase of 2 and 2.3% respectively to the two techniques used.

American Journal of Applied Sciences
Volume 15 No. 5, 2018, 267-277

DOI: https://doi.org/10.3844/ajassp.2018.267.277

Submitted On: 17 February 2018 Published On: 15 May 2018

How to Cite: Rezoug, M. R. & Chenni, R. (2018). A Real-Time Optimization Approach to the Efficiency of a Photovoltaic System by a Hybrid Tracking Technique using LabVIEW. American Journal of Applied Sciences, 15(5), 267-277. https://doi.org/10.3844/ajassp.2018.267.277

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Keywords

  • Hybrid Tracking
  • Pre-Programmed
  • Sensory Correction
  • Azimuth