Low-cost virtual instrumentation of PV panel characteristics using Excel and Arduino in comparison with traditional instrumentation

This paper presents a low-cost solution of virtual instrumentation to provide a new technique for real-time instrumentation of the PV panel characteristics such as voltage, current and power. The system design is based on a low-cost Arduino acquisition board. The acquisition is made through a low-cost current and voltage sensors, and data are presented in Excel by using the PLX-DAQ data acquisition Excel Macro, which allows communication between the ATMega328 microcontroller of an Arduino UNO board and the computer by UART bus. Hence, the I–V and P–V characteristics, which processed under real-time conditions, can be obtained directly and plotted on an Excel spreadsheet without needing to reprogram the microcontroller. A comparison between this low-cost virtual instrumentation and the traditional instrumentation is drawn in this work. It is found that our solution presents several benefits compared to the traditional solution such as the data can be presented in graphical form in real time. Thus, several experimental tests to confirm the effectiveness of the developed virtual instrumentation system are presented in this study.

[1]  Chenni Rachid Tracing current-voltage curve of solar panel Based on LabVIEW Arduino Interfacing , 2015 .

[2]  Kurniyawan Hardi Saputra Data Logger Parameter Daya Pada Panel Surya Menggunakan RTC dan Display , 2016 .

[3]  Saad Motahhir,et al.  Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance , 2018 .

[4]  Costin Cepisca,et al.  Measurement & analysis in PV systems , 2010 .

[5]  Zhengming Zhao,et al.  Grid-connected photovoltaic power systems: Technical and potential problems—A review , 2010 .

[6]  Necmi Altin,et al.  Single stage three level grid interactive MPPT inverter for PV systems , 2014 .

[7]  F. Chenlo,et al.  Experimental study of mismatch and shading effects in the I-V characteristic of a photovoltaic module , 2006 .

[8]  Kostas Kalaitzakis,et al.  Development of an integrated data-acquisition system for renewable energy sources systems monitoring , 2003 .

[9]  Girish Kumar Singh,et al.  Solar power generation by PV (photovoltaic) technology: A review , 2013 .

[10]  Saad Motahhir,et al.  Modélisation et commande d’un panneau photovoltaïque dans l’environnement PSIM , 2015 .

[11]  M. E. Ropp,et al.  Comparative study of maximum power point tracking algorithms , 2003 .

[12]  Ioan-Viorel BANU,et al.  MODELING AND SIMULATION OF PHOTOVOLTAIC ARRAYS , 2012 .

[13]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[14]  Saad Motahhir,et al.  Shading Effect to Energy Withdrawn from the Photovoltaic Panel and Implementation of DMPPT Using C Language , 2016 .

[15]  Jorge Aguilera,et al.  Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards , 2014 .

[16]  Santiago Silvestre,et al.  Review of System Design and Sizing Tools , 2012 .

[17]  Saad Motahhir,et al.  Modeling of Photovoltaic Panel by using Proteus , 2017, Journal of Engineering Science and Technology Review.

[18]  Saad Motahhir,et al.  Proposal and implementation of a novel perturb and observe algorithm using embedded software , 2015, 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC).

[19]  Robert L. Jaffe,et al.  Pathways for solar photovoltaics , 2015 .

[20]  Aissa Chouder,et al.  Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters , 2012, Simul. Model. Pract. Theory.