Classification of Electric Faults in Photovoltaic Systems Based on Voltage-Power Curves

Authors

Keywords:

Electric faults, Line to line faults, open circuit faults, Photovoltaic array, Voltage and power curves

Abstract

This article presents the development of an algorithm capable of detecting and classifying electric faults in photovoltaic array systems by measuring the voltage-power curve. The algorithm was build based on a characterization method in which multiple photovoltaic arrays were evaluated under different fault conditions, by measuring and analyzing the voltage-power curves at the output of each array. The algorithm was evaluated experimentally in a controlled environment inside a laboratory under 59 different fault conditions obtaining an effectiveness of 100%. Then, the algorithm was evaluated experimentally outdoors under 124 different fault conditions, temperature and solar radiations, and was able to detect and classify electric faults in different photovoltaic arrays with an effectiveness of 94.4%. The proposed algorithm can be implemented with standard power-inverters as a low-cost solution and users can receive information on up-to date performance of their photovoltaic array systems through a mobile App. The design of a mobile app for the algorithm is proposed as well.

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Author Biographies

Andres Eduardo Nieto, Pontificia Universidad Javeriana

Andres received the B.S. degree in 2014 and M.S. degree in 2016 in electronic engineering both from Pontificia Universidad Javeriana, Bogotá, Colombia. From 2014 to 2015, he was a Research Assistant at Pontificia Universidad Javeriana, Bogotá, Colombia. He is currently a full-time professor at Departamento de Diseño, Pontificia Universidad Javeriana in Bogotá. His research activity focuses on applications in smart-grids and assistive technologies.

Fredy Ruiz, Politecnico de Milano

Fredy received the Bachelor and M.Sc. degrees in electronics engineering from the Pontificia Universidad Javeriana (Colombia) in 2002 and 2006, respectively, and the Ph.D. degree in information and system engineering from the  Politecnico di Torino (Italy) in 2009. He is currently Associate Professor at the Politecnico di Milano (Italy). His research activity focuses in control and optimization, in particular, the use and of data-driven techniques in optimal estimation and controller design, with applications in smart-grids, power electronics, robotics and bio-technology.

 

Diego Patino, Pontificia Universidad Javeriana

Diego received the BSc. in Electronic Engineering from the Universidad Nacional de Colombia, Manizales, Colombia in 2002, a MSc. in Automatic Control and Computers from Universidad de los Andes, Bogotá, Colombia in 2005, and a PhD. in Automatic Control and Signal Processing from the National Polytechnic Institute of Lorraine, Nancy, France in 2009. He is currently a full-time professor at Pontificia Universidad Javeriana in Bogotá, Colombia and head of the electronics department.

Omar Ramirez, Pontificia Universidad Javeriana

Omar received the Industrial Design B.S. degree in 1998 from Pontificia Universidad Javeriana, and MDes. In Interactions from The Hong Kong Polytechnic university in 2009. He is currently full time professor at Departamento de Diseño, Pontificia Universidad Javeriana, Bogotá, Colombia. With research interests on design and development of assistive technologies.

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Published

2021-05-26

How to Cite

Nieto, A. E., Ruiz, F., Patino, D., & Ramirez, O. (2021). Classification of Electric Faults in Photovoltaic Systems Based on Voltage-Power Curves. IEEE Latin America Transactions, 19(12), 2071–2078. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/5091

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