Data analysis and tools applied to modeling and simulation of a PV system in Ecuador

Authors

  • Darío Javier Benavides Padilla University of Jaén
  • F Jurado University of Jaén
  • Luis G González University of Cuenca

DOI:

https://doi.org/10.29019/enfoqueute.v9n4.389

Keywords:

Data analysis; Modeling, Simulation; Photovoltaic; Matlab/Simulink.

Abstract

This paper presents a research was carried out for the management of a photovoltaic system in a Microgrid, with applications and the use of tools applied to modeling and computational simulation in the Microgrid laboratory implanted in the facilities of the University of Cuenca (Ecuador). Additionally, through the use of automatic learning techniques, the behavior of the photovoltaic system has been modeled in the study area based on radiation and temperature with very good results. In addition, several applications can be made in real engineering studies such as feasibility, performance analysis, energy estimation, educational models, etc.

Downloads

Download data is not yet available.

References

Ahmad, A., Mehdi, F., Pourya, S. and Cihan, H. (2017), Modeling and Simulation of Microgrid, Procedia Computer Science, 114, 392-400.
Almaraashi, M., (2018), Investigating the impact of feature selection on the prediction of solar radiation in different locations in Saudi Arabia, Applied Soft Computing, 66, 250-263.
Almorox, J. and Hontoria, C., (2014), Global solar radiation estimation using sunshine duration in Spain, Energy Conversion and Management, 45, 1529-1535.
Bays, N., Clifton, J. and Hatipoglu, K., (2014), MATLAB-Graphical User Interface to study partial shading of PV array characteristics, IEEE SOUTHEASTCON, 1-4.
Chunming, T., Xi, H., Zhikang, S. and Fei, J., (2017), Big data issues in smart grid – A review, Renewable and Sustainable Energy Reviews, 79, 1099-1107.
Ding, K., Bian, X., Liu, H. and Peng, T., (2012), A MATLAB-Simulink-Based PV Module Model and Its Application Under Conditions of Nonuniform Irradiance, IEEE Transactions on Energy Conversion, 27, 864-872.
Espinoza, J. L., González, L. G., and Sempértegui, R., (2017), Micro grid laboratory as a tool for research on non-conventional energy sources in Ecuador, IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 1-7.
Meenal, R. and Selvakumar, A., (2018), Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters, Renewable Energy, 121, 324-343.
Mellit, A., Kalogirou, S.A., Hontoria, L. and Shaari, S., (2009), Artificial intelligence techniques for sizing photovoltaic systems: A review, Renewable and Sustainable Energy Reviews, 13, 406-419.
Nayak, B. P. and Shaw, A., (2017), Design of MPPT controllers and PV cells using MATLAB Simulink and their analysis, International Conference on Nascent Technologies in Engineering (ICNTE), 1-6.
Prasanth, J., Himanshu, M., Dhanup, S., Sudhakar, T., Masafumi, M. and Rajasekar, N., (2018), Analysis on solar PV emulators: A review, Renewable and Sustainable Energy Reviews, 81, 149-160.
Rameen, A., (2017), Modeling and simulation of a micro grid-connected solar PV system, Water Science, 31, 1-10.
Razman, A. and Chee, W. T., (2017), A comprehensive review on photovoltaic emulator, Renewable and Sustainable Energy Reviews, 80, 430-452.
Sreenivasa, G., Bramhananda, T. and Vijaya, M., (2017), A MATLAB based PV Module Models analysis under Conditions of Nonuniform Irradiance, Energy Procedia, 117, 974-983.

Downloads

Published

2018-12-21

How to Cite

Benavides Padilla, D. J., Jurado, F., & González, L. G. (2018). Data analysis and tools applied to modeling and simulation of a PV system in Ecuador. Enfoque UTE, 9(4), pp. 1 – 12. https://doi.org/10.29019/enfoqueute.v9n4.389

Issue

Vol. 9 No. 4 (2018)

Section

Automation and Control, Mechatronics, Electromechanics, Automotive

License

The articles and research published by the UTE University are carried out under the Open Access regime in electronic format.  This means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access. By submitting an article to any of the scientific journals of the UTE University, the author or authors accept these conditions.

The UTE applies the Creative Commons Attribution (CC-BY) license to articles in its scientific journals. Under this open access license, as an author you agree that anyone may reuse your article in whole or in part for any purpose, free of charge, including commercial purposes. Anyone can copy, distribute or reuse the content as long as the author and original source are correctly cited. This facilitates freedom of reuse and also ensures that content can be extracted without barriers for research needs.

 

This work is licensed under a Creative Commons Attribution 3.0 International (CC BY 3.0).

 

The Enfoque UTE journal guarantees and declares that authors always retain all copyrights and full publishing rights without restrictions [© The Author(s)]. Acknowledgment (BY): Any exploitation of the work is allowed, including a commercial purpose, as well as the creation of derivative works, the distribution of which is also allowed without any restriction.