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Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators
Photovoltaic (PV) energy is a renewable energy resource which is being widely integrated in intelligent power grids, smart grids, and microgrids. To characterize and monitor the behavior of PV modules, current-voltage (I-V) curves are essential. In this regard, Internet of Things (IoT) technologies...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620002/ https://www.ncbi.nlm.nih.gov/pubmed/34833725 http://dx.doi.org/10.3390/s21227650 |
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author | González, Isaías Portalo, José María Calderón, Antonio José |
author_facet | González, Isaías Portalo, José María Calderón, Antonio José |
author_sort | González, Isaías |
collection | PubMed |
description | Photovoltaic (PV) energy is a renewable energy resource which is being widely integrated in intelligent power grids, smart grids, and microgrids. To characterize and monitor the behavior of PV modules, current-voltage (I-V) curves are essential. In this regard, Internet of Things (IoT) technologies provide versatile and powerful tools, constituting a modern trend in the design of sensing and data acquisition systems for I-V curve tracing. This paper presents a novel I-V curve tracer based on IoT open-source hardware and software. Namely, a Raspberry Pi microcomputer composes the hardware level, whilst the applied software comprises mariaDB, Python, and Grafana. All the tasks required for curve tracing are automated: load sweep, data acquisition, data storage, communications, and real-time visualization. Modern and legacy communication protocols are handled for seamless data exchange with a programmable logic controller and a programmable load. The development of the system is expounded, and experimental results are reported to prove the suitability and validity of the proposal. In particular, I-V curve tracing of a monocrystalline PV generator under real operating conditions is successfully conducted. |
format | Online Article Text |
id | pubmed-8620002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86200022021-11-27 Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators González, Isaías Portalo, José María Calderón, Antonio José Sensors (Basel) Technical Note Photovoltaic (PV) energy is a renewable energy resource which is being widely integrated in intelligent power grids, smart grids, and microgrids. To characterize and monitor the behavior of PV modules, current-voltage (I-V) curves are essential. In this regard, Internet of Things (IoT) technologies provide versatile and powerful tools, constituting a modern trend in the design of sensing and data acquisition systems for I-V curve tracing. This paper presents a novel I-V curve tracer based on IoT open-source hardware and software. Namely, a Raspberry Pi microcomputer composes the hardware level, whilst the applied software comprises mariaDB, Python, and Grafana. All the tasks required for curve tracing are automated: load sweep, data acquisition, data storage, communications, and real-time visualization. Modern and legacy communication protocols are handled for seamless data exchange with a programmable logic controller and a programmable load. The development of the system is expounded, and experimental results are reported to prove the suitability and validity of the proposal. In particular, I-V curve tracing of a monocrystalline PV generator under real operating conditions is successfully conducted. MDPI 2021-11-18 /pmc/articles/PMC8620002/ /pubmed/34833725 http://dx.doi.org/10.3390/s21227650 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technical Note González, Isaías Portalo, José María Calderón, Antonio José Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators |
title | Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators |
title_full | Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators |
title_fullStr | Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators |
title_full_unstemmed | Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators |
title_short | Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators |
title_sort | configurable iot open-source hardware and software i-v curve tracer for photovoltaic generators |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620002/ https://www.ncbi.nlm.nih.gov/pubmed/34833725 http://dx.doi.org/10.3390/s21227650 |
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