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Energies 2017, 10(12), 1964; doi:10.3390/en10121964

Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain

Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, EscuelaPolitécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain
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Received: 3 November 2017 / Revised: 18 November 2017 / Accepted: 22 November 2017 / Published: 25 November 2017
(This article belongs to the Special Issue PV System Design and Performance)
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Abstract

The starting point of the operation and maintenance tasks in photovoltaic plants is the continuous monitoring and supervision of its components. The great amount of registered data requires a major improvement in the ways this information is processed and analyzed to rapidly detect any potential fault, without incurring additional costs. In this paper, a procedure to perform a detailed graphical supported analysis of the operation of photovoltaic installations, based on inverter data, and using a self-developed application, is presented. The program carries out the automated processing of the registered data, providing their access and visualization by means of color maps. These graphs allow a large volume of data set to be simultaneously represented in a readable way, enabling operation and maintenance operators to quickly detect patterns that would require any type of intervention. As a case study, the operation of a grid-connected photovoltaic plant located in southern Spain was studied during a period of three years. The average daily efficiency values of the PV modules and inverters were in the range of 7.6–14.6%, and 73.5–94% respectively. Moreover, the presence of shadings, as well as the hours and days mainly affected by this issue, was easily detected. View Full-Text
Keywords: photovoltaic plants; software development; performance analysis; loss analysis; graphical malfunction detection photovoltaic plants; software development; performance analysis; loss analysis; graphical malfunction detection
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MDPI and ACS Style

Santiago, I.; Trillo Montero, D.; Luna Rodríguez, J.J.; Moreno Garcia, I.M.; Palacios Garcia, E.J. Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain. Energies 2017, 10, 1964.

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