Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study

Luis D. Murillo-Soto; Carlos Meza

doi:10.1007/978-3-030-37161-6_43

Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

7 Citas (Scopus)

Resumen

The performance of photovoltaic installation is highly affected by faults in single modules. Faults in photovoltaic arrays are difficult to detect, locate and diagnose due to the way in which modules are configured. Given that photovoltaic arrays are formed by modules in series, a fault in a single module affects the whole system. Therefore, the technology to detect and diagnose faults inside solar arrays is emerging, the present paper proposes several expressions that help to detect and diagnose failures using a proposed algorithm. The expressions were obtained by an inductive approach based on the analysis of simulation cases where different faults were tested. The array model used for the simulation was built in Spice software based on the five-parameter model of a solar module.

Idioma original	Inglés
Título de la publicación alojada	ELECTRIMACS 2019 - Selected Papers - Volume 1
Editores	Walter Zamboni, Giovanni Petrone
Editorial	Springer
Páginas	567-582
Número de páginas	16
ISBN (versión impresa)	9783030371609
DOI	https://doi.org/10.1007/978-3-030-37161-6_43
Estado	Publicada - 2020
Evento	13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019 - Salerno, Italia Duración: 21 may 2019 → 23 may 2019

Serie de la publicación

Nombre	Lecture Notes in Electrical Engineering
Volumen	604
ISSN (versión impresa)	1876-1100
ISSN (versión digital)	1876-1119

Conferencia

Conferencia	13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019
País/Territorio	Italia
Ciudad	Salerno
Período	21/05/19 → 23/05/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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@inproceedings{c5dfbf48a3724f5ea77492978bc7f9f9,

title = "Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study",

abstract = "The performance of photovoltaic installation is highly affected by faults in single modules. Faults in photovoltaic arrays are difficult to detect, locate and diagnose due to the way in which modules are configured. Given that photovoltaic arrays are formed by modules in series, a fault in a single module affects the whole system. Therefore, the technology to detect and diagnose faults inside solar arrays is emerging, the present paper proposes several expressions that help to detect and diagnose failures using a proposed algorithm. The expressions were obtained by an inductive approach based on the analysis of simulation cases where different faults were tested. The array model used for the simulation was built in Spice software based on the five-parameter model of a solar module.",

keywords = "Modelling faults, PV fault diagnosis, Simulation",

author = "Murillo-Soto, \{Luis D.\} and Carlos Meza",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019 ; Conference date: 21-05-2019 Through 23-05-2019",

year = "2020",

doi = "10.1007/978-3-030-37161-6\_43",

language = "Ingl{\'e}s",

isbn = "9783030371609",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer",

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editor = "Walter Zamboni and Giovanni Petrone",

booktitle = "ELECTRIMACS 2019 - Selected Papers - Volume 1",

}

Murillo-Soto, LD & Meza, C 2020, Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study. En W Zamboni & G Petrone (eds.), ELECTRIMACS 2019 - Selected Papers - Volume 1. Lecture Notes in Electrical Engineering, vol. 604, Springer, pp. 567-582, 13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019, Salerno, Italia, 21/05/19. https://doi.org/10.1007/978-3-030-37161-6_43

Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study. / Murillo-Soto, Luis D.; Meza, Carlos.
ELECTRIMACS 2019 - Selected Papers - Volume 1. ed. / Walter Zamboni; Giovanni Petrone. Springer, 2020. p. 567-582 (Lecture Notes in Electrical Engineering; Vol. 604).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays

T2 - 13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019

AU - Murillo-Soto, Luis D.

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N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

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N2 - The performance of photovoltaic installation is highly affected by faults in single modules. Faults in photovoltaic arrays are difficult to detect, locate and diagnose due to the way in which modules are configured. Given that photovoltaic arrays are formed by modules in series, a fault in a single module affects the whole system. Therefore, the technology to detect and diagnose faults inside solar arrays is emerging, the present paper proposes several expressions that help to detect and diagnose failures using a proposed algorithm. The expressions were obtained by an inductive approach based on the analysis of simulation cases where different faults were tested. The array model used for the simulation was built in Spice software based on the five-parameter model of a solar module.

AB - The performance of photovoltaic installation is highly affected by faults in single modules. Faults in photovoltaic arrays are difficult to detect, locate and diagnose due to the way in which modules are configured. Given that photovoltaic arrays are formed by modules in series, a fault in a single module affects the whole system. Therefore, the technology to detect and diagnose faults inside solar arrays is emerging, the present paper proposes several expressions that help to detect and diagnose failures using a proposed algorithm. The expressions were obtained by an inductive approach based on the analysis of simulation cases where different faults were tested. The array model used for the simulation was built in Spice software based on the five-parameter model of a solar module.

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KW - PV fault diagnosis

KW - Simulation

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Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study

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