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用于光伏发电机的可配置物联网开源硬件和软件I-V曲线跟踪仪。

Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators.

作者信息

González Isaías, Portalo José María, Calderón Antonio José

机构信息

Department of Electrical Engineering, Electronics and Automation, University of Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain.

出版信息

Sensors (Basel). 2021 Nov 18;21(22):7650. doi: 10.3390/s21227650.

DOI:10.3390/s21227650
PMID:34833725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8620002/
Abstract

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.

摘要

光伏（PV）能源是一种可再生能源，正被广泛集成到智能电网、电网和微电网中。为了表征和监测光伏模块的行为，电流-电压（I-V）曲线至关重要。在这方面，物联网（IoT）技术提供了多功能且强大的工具，构成了用于I-V曲线跟踪的传感和数据采集系统设计的现代趋势。本文提出了一种基于物联网开源硬件和软件的新型I-V曲线跟踪器。具体而言，树莓派微型计算机构成硬件层，而应用的软件包括mariaDB、Python和Grafana。曲线跟踪所需的所有任务都是自动化的：负载扫描、数据采集、数据存储、通信和实时可视化。处理现代和传统通信协议，以便与可编程逻辑控制器和可编程负载进行无缝数据交换。阐述了系统的开发过程，并报告了实验结果以证明该方案的适用性和有效性。特别是，成功地在实际运行条件下对单晶光伏发电机进行了I-V曲线跟踪。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d23/8620002/354fff5558bd/sensors-21-07650-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d23/8620002/08230340bf64/sensors-21-07650-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d23/8620002/036694a664e1/sensors-21-07650-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d23/8620002/133eb1cf936d/sensors-21-07650-g017.jpg
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