TY - JOUR
T1 - Graphical diagnosis of performances in photovoltaic systems
T2 - A case study in southern Spain
AU - Santiago, Isabel
AU - Trillo Montero, David
AU - Luna Rodríguez, Juan J.
AU - Moreno Garcia, Isabel M.
AU - Palacios Garcia, Emilio J.
N1 - Publisher Copyright:
© 2017 by the authors.
PY - 2017/12
Y1 - 2017/12
N2 - 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.
AB - 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.
KW - Graphical malfunction detection
KW - Loss analysis
KW - Performance analysis
KW - Photovoltaic plants
KW - Software development
UR - https://www.scopus.com/pages/publications/85044265869
U2 - 10.3390/en10121964
DO - 10.3390/en10121964
M3 - Article
AN - SCOPUS:85044265869
SN - 1996-1073
VL - 10
JO - Energies
JF - Energies
IS - 12
M1 - 1064
ER -
