Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm

Luis D. Murillo-Soto; Geovanni Figueroa-Mata; Carlos Meza

doi:10.1109/IWOBI.2018.8464197

Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm

Luis D. Murillo-Soto, Geovanni Figueroa-Mata, Carlos Meza

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

5 Citas (Scopus)

Resumen

One of the main concern of the maintenance operation in solar plants is the early identification of faults in solar panels. Several faults in solar panels reflects on the variation of its internal resistance. This work presents and validates a differential evolution algorithm that is capable of identifying the changes on the internal resistance of photo-voltaic (PV) modules under dark conditions. Such algorithm enables the automated test of PV modules during the night, when the identification operations do not affect the PV installation energy generation.

Idioma original	Inglés
Título de la publicación alojada	2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión impresa)	9781538675069
DOI	https://doi.org/10.1109/IWOBI.2018.8464197
Estado	Publicada - 12 sept 2018
Evento	2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - San Carlos, Costa Rica Duración: 18 jul 2018 → 20 jul 2018

Serie de la publicación

Nombre	2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings

Conferencia

Conferencia	2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018
País/Territorio	Costa Rica
Ciudad	San Carlos
Período	18/07/18 → 20/07/18

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10.1109/IWOBI.2018.8464197

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Murillo-Soto, L. D., Figueroa-Mata, G., & Meza, C. (2018). Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm. En 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings Artículo 8464197 (2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWOBI.2018.8464197

Murillo-Soto, Luis D. ; Figueroa-Mata, Geovanni ; Meza, Carlos. / Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm. 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings).

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title = "Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm",

abstract = "One of the main concern of the maintenance operation in solar plants is the early identification of faults in solar panels. Several faults in solar panels reflects on the variation of its internal resistance. This work presents and validates a differential evolution algorithm that is capable of identifying the changes on the internal resistance of photo-voltaic (PV) modules under dark conditions. Such algorithm enables the automated test of PV modules during the night, when the identification operations do not affect the PV installation energy generation.",

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author = "Murillo-Soto, {Luis D.} and Geovanni Figueroa-Mata and Carlos Meza",

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Murillo-Soto, LD , Figueroa-Mata, G & Meza, C 2018, Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm. En 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings., 8464197, 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018, San Carlos, Costa Rica, 18/07/18. https://doi.org/10.1109/IWOBI.2018.8464197

Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm. / Murillo-Soto, Luis D.; Figueroa-Mata, Geovanni ; Meza, Carlos.
2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8464197 (2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings).

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

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AU - Meza, Carlos

PY - 2018/9/12

Y1 - 2018/9/12

N2 - One of the main concern of the maintenance operation in solar plants is the early identification of faults in solar panels. Several faults in solar panels reflects on the variation of its internal resistance. This work presents and validates a differential evolution algorithm that is capable of identifying the changes on the internal resistance of photo-voltaic (PV) modules under dark conditions. Such algorithm enables the automated test of PV modules during the night, when the identification operations do not affect the PV installation energy generation.

AB - One of the main concern of the maintenance operation in solar plants is the early identification of faults in solar panels. Several faults in solar panels reflects on the variation of its internal resistance. This work presents and validates a differential evolution algorithm that is capable of identifying the changes on the internal resistance of photo-voltaic (PV) modules under dark conditions. Such algorithm enables the automated test of PV modules during the night, when the identification operations do not affect the PV installation energy generation.

KW - Dark conditions model

KW - Differential evolution algorithm

KW - Explicit dark condition model

KW - Photo-voltaic module

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DO - 10.1109/IWOBI.2018.8464197

M3 - Contribución a la conferencia

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SN - 9781538675069

T3 - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings

BT - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018

Y2 - 18 July 2018 through 20 July 2018

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Murillo-Soto LD , Figueroa-Mata G , Meza C. Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm. En 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8464197. (2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings). doi: 10.1109/IWOBI.2018.8464197

Identification of the Internal Resistance in Solar Modules under Dark Conditions Using Differential Evolution Algorithm

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