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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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.

Original language	English
Title of host publication	ELECTRIMACS 2019 - Selected Papers - Volume 1
Editors	Walter Zamboni, Giovanni Petrone
Publisher	Springer
Pages	567-582
Number of pages	16
ISBN (Print)	9783030371609
DOIs	https://doi.org/10.1007/978-3-030-37161-6_43
State	Published - 2020
Event	13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019 - Salerno, Italy Duration: 21 May 2019 → 23 May 2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	604
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	13th International Conference of the IMACS TC1 Committee, ELECTRIMACS 2019
Country/Territory	Italy
City	Salerno
Period	21/05/19 → 23/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Modelling faults
PV fault diagnosis
Simulation

Access to Document

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

Cite this

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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",

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isbn = "9783030371609",

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publisher = "Springer",

pages = "567--582",

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. in 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, Italy, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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.

AU - Meza, Carlos

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

PY - 2020

Y1 - 2020

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.

KW - Modelling faults

KW - PV fault diagnosis

KW - Simulation

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U2 - 10.1007/978-3-030-37161-6_43

DO - 10.1007/978-3-030-37161-6_43

M3 - Contribución a la conferencia

AN - SCOPUS:85084822262

SN - 9783030371609

T3 - Lecture Notes in Electrical Engineering

SP - 567

EP - 582

BT - ELECTRIMACS 2019 - Selected Papers - Volume 1

A2 - Zamboni, Walter

A2 - Petrone, Giovanni

PB - Springer

Y2 - 21 May 2019 through 23 May 2019

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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