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用于光伏电站中电池板个体监测的无线传感器网络的开发。

Development of a wireless sensor network for individual monitoring of panels in a photovoltaic plant.

机构信息

Área de Tecnología Electrónica, Universidad de Oviedo, Edificio Departamental No. 3. Campus Universitario, 33203 Gijón, Spain.

出版信息

Sensors (Basel). 2014 Jan 30;14(2):2379-96. doi: 10.3390/s140202379.

DOI:10.3390/s140202379
PMID:24487622
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3958294/
Abstract

With photovoltaic (PV) systems proliferating in the last few years due to the high prices of fossil fuels and pollution issues, among others, it is extremely important to monitor the efficiency of these plants and optimize the energy production process. This will also result in improvements related to the maintenance and security of the installation. In order to do so, the main parameters in the plant must be continuously monitored so that the appropriate actions can be carried out. This monitoring should not only be carried out at a global level, but also at panel-level, so that a better understanding of what is actually happening in the PV plant can be obtained. This paper presents a system based on a wireless sensor network (WSN) that includes all the components required for such monitoring as well as a power supply obtaining the energy required by the sensors from the photovoltaic panels. The system proposed succeeds in identifying all the nodes in the network and provides real-time monitoring while tracking efficiency, features, failures and weaknesses from a single cell up to the whole infrastructure. Thus, the decision-making process is simplified, which contributes to reducing failures, wastes and, consequently, costs.

摘要

由于化石燃料价格高企和环境污染等问题,过去几年光伏 (PV) 系统得到了快速发展,因此监控这些电站的效率并优化能源生产过程非常重要。这也将有助于改进安装的维护和安全性。为此,必须持续监测电站的主要参数,以便采取适当的措施。这种监控不仅要在全局层面进行,还要在面板层面进行,以便更好地了解光伏电站的实际运行情况。本文提出了一个基于无线传感器网络 (WSN) 的系统,该系统包括进行此类监控所需的所有组件,以及一个从光伏电池板获取传感器所需能量的电源。所提出的系统成功识别了网络中的所有节点,并提供实时监控,同时从单个电池到整个基础设施跟踪效率、功能、故障和弱点。因此,简化了决策过程,有助于减少故障、浪费,从而降低成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/bd09eee11ab2/sensors-14-02379f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/cb120c04cca8/sensors-14-02379f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/a160aa327178/sensors-14-02379f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/5af3ae182ed9/sensors-14-02379f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/c2fa07fd655e/sensors-14-02379f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/d335d7dd3b1e/sensors-14-02379f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/04aa686988df/sensors-14-02379f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/8a67f8fa957a/sensors-14-02379f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/bd09eee11ab2/sensors-14-02379f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/cb120c04cca8/sensors-14-02379f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/a160aa327178/sensors-14-02379f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/5af3ae182ed9/sensors-14-02379f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/c2fa07fd655e/sensors-14-02379f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/d335d7dd3b1e/sensors-14-02379f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/04aa686988df/sensors-14-02379f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/8a67f8fa957a/sensors-14-02379f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f19b/3958294/bd09eee11ab2/sensors-14-02379f12.jpg

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