SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators

Ronny Zarate-Ferreto; Kaleb Alfaro-Badilla; Carlos Meza-Benavides; Carlos Salazar-Garcia; Alfonso Chacon-Rodriguez

doi:10.1109/LASCAS45839.2020.9069037

SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators

Ronny Zarate-Ferreto
, Kaleb Alfaro-Badilla
, Carlos Meza-Benavides
, Carlos Salazar-Garcia
, Alfonso Chacon-Rodriguez

Costa Rica Institute of Technology

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

1 Cita (Scopus)

Resumen

This paper presents the hardware implementation of a linear estimation algorithm for the online monitoring of temperature-dependent parameters from photovoltaic (PV) systems. Such parameters are related to the optimal energy efficiency in PV panels, and the validity of the estimation algorithm has been verified in prior publications. The algorithm requires the sampling of high-frequency harmonics in the DC-DC converted voltage and current signals (in the order of several hundred kHz), which make their acquisition and processing unwieldy for typical small embedded systems, mainly if aiming at low latency, efficiency control loops for several panels. As such, the presented system provides with fast sampling (1Mbps per channel), fast processing, expandable parametric estimation, and online monitoring, using an Avnet ZedBoard Zynq SoC platform. Monitoring data from the system may be accessed via the Internet, and the low resources count of the implemented system opens the possibility for the incorporation of control algorithms running on hardware as well.

Idioma original	Inglés
Título de la publicación alojada	2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728134277
DOI	https://doi.org/10.1109/LASCAS45839.2020.9069037
Estado	Publicada - feb 2020
Evento	11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020 - San Jose, Costa Rica Duración: 25 feb 2020 → 28 feb 2020

Serie de la publicación

Nombre	2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020

Conferencia

Conferencia	11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020
País/Territorio	Costa Rica
Ciudad	San Jose
Período	25/02/20 → 28/02/20

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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10.1109/LASCAS45839.2020.9069037

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Zarate-Ferreto, R., Alfaro-Badilla, K., Meza-Benavides, C., Salazar-Garcia, C., & Chacon-Rodriguez, A. (2020). SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators. En 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020 Artículo 9069037 (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LASCAS45839.2020.9069037

Zarate-Ferreto, Ronny ; Alfaro-Badilla, Kaleb ; Meza-Benavides, Carlos et al. / SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators. 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020).

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title = "SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators",

abstract = "This paper presents the hardware implementation of a linear estimation algorithm for the online monitoring of temperature-dependent parameters from photovoltaic (PV) systems. Such parameters are related to the optimal energy efficiency in PV panels, and the validity of the estimation algorithm has been verified in prior publications. The algorithm requires the sampling of high-frequency harmonics in the DC-DC converted voltage and current signals (in the order of several hundred kHz), which make their acquisition and processing unwieldy for typical small embedded systems, mainly if aiming at low latency, efficiency control loops for several panels. As such, the presented system provides with fast sampling (1Mbps per channel), fast processing, expandable parametric estimation, and online monitoring, using an Avnet ZedBoard Zynq SoC platform. Monitoring data from the system may be accessed via the Internet, and the low resources count of the implemented system opens the possibility for the incorporation of control algorithms running on hardware as well.",

keywords = "FPGA, System-on-chip, heterogeneous computating, high-level synthesis, photo-voltaic power systems",

author = "Ronny Zarate-Ferreto and Kaleb Alfaro-Badilla and Carlos Meza-Benavides and Carlos Salazar-Garcia and Alfonso Chacon-Rodriguez",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020 ; Conference date: 25-02-2020 Through 28-02-2020",

year = "2020",

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doi = "10.1109/LASCAS45839.2020.9069037",

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Zarate-Ferreto, R, Alfaro-Badilla, K, Meza-Benavides, C , Salazar-Garcia, C & Chacon-Rodriguez, A 2020, SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators. En 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020., 9069037, 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020, Institute of Electrical and Electronics Engineers Inc., 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020, San Jose, Costa Rica, 25/02/20. https://doi.org/10.1109/LASCAS45839.2020.9069037

SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators. / Zarate-Ferreto, Ronny; Alfaro-Badilla, Kaleb; Meza-Benavides, Carlos et al.
2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9069037 (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020).

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

TY - GEN

T1 - SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators

AU - Zarate-Ferreto, Ronny

AU - Alfaro-Badilla, Kaleb

AU - Meza-Benavides, Carlos

AU - Salazar-Garcia, Carlos

AU - Chacon-Rodriguez, Alfonso

PY - 2020/2

Y1 - 2020/2

N2 - This paper presents the hardware implementation of a linear estimation algorithm for the online monitoring of temperature-dependent parameters from photovoltaic (PV) systems. Such parameters are related to the optimal energy efficiency in PV panels, and the validity of the estimation algorithm has been verified in prior publications. The algorithm requires the sampling of high-frequency harmonics in the DC-DC converted voltage and current signals (in the order of several hundred kHz), which make their acquisition and processing unwieldy for typical small embedded systems, mainly if aiming at low latency, efficiency control loops for several panels. As such, the presented system provides with fast sampling (1Mbps per channel), fast processing, expandable parametric estimation, and online monitoring, using an Avnet ZedBoard Zynq SoC platform. Monitoring data from the system may be accessed via the Internet, and the low resources count of the implemented system opens the possibility for the incorporation of control algorithms running on hardware as well.

AB - This paper presents the hardware implementation of a linear estimation algorithm for the online monitoring of temperature-dependent parameters from photovoltaic (PV) systems. Such parameters are related to the optimal energy efficiency in PV panels, and the validity of the estimation algorithm has been verified in prior publications. The algorithm requires the sampling of high-frequency harmonics in the DC-DC converted voltage and current signals (in the order of several hundred kHz), which make their acquisition and processing unwieldy for typical small embedded systems, mainly if aiming at low latency, efficiency control loops for several panels. As such, the presented system provides with fast sampling (1Mbps per channel), fast processing, expandable parametric estimation, and online monitoring, using an Avnet ZedBoard Zynq SoC platform. Monitoring data from the system may be accessed via the Internet, and the low resources count of the implemented system opens the possibility for the incorporation of control algorithms running on hardware as well.

KW - FPGA

KW - System-on-chip

KW - heterogeneous computating

KW - high-level synthesis

KW - photo-voltaic power systems

UR - https://www.scopus.com/pages/publications/85084293587

U2 - 10.1109/LASCAS45839.2020.9069037

DO - 10.1109/LASCAS45839.2020.9069037

M3 - Contribución a la conferencia

AN - SCOPUS:85084293587

T3 - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020

BT - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020

Y2 - 25 February 2020 through 28 February 2020

ER -

Zarate-Ferreto R, Alfaro-Badilla K, Meza-Benavides C , Salazar-Garcia C , Chacon-Rodriguez A. SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators. En 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9069037. (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020). doi: 10.1109/LASCAS45839.2020.9069037

SoC-FPGA Implementation of a Temperature-Dependent Parameters Estimator for Photovoltaic Generators

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