Development of a smart cloud-based monitoring system for solar photovoltaic energy generation

Challa Krishna Rao , Sarat Kumar Sahoo , Franco Fernando Yanine
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Abstract

The main controllers overseeing both solar panels and loads have all panels connected with sensors. The radiation striking the solar cell determines the power produced and real-time monitoring is crucial to evaluating the performance of a solar photovoltaic system. The emerging Internet of Things provides an opportunity to significantly enhance the monitoring of solar energy output and plant operations. To achieve this, a remote monitoring system is necessary, utilizing the Internet of Things to gather and transmit data. This study aims to utilize the Internet of the Things to monitor solar photovoltaic systems and assess their effectiveness. The monitoring system includes components such as a data gateway, data collection, and presentation for a cloud application. The collected data were stored in the cloud, enabling a visual representation of the sensed parameters. The system achieved a better accuracy rate, with an average transmission time of 53.01 s. The results indicate that the recommended monitoring system allowed users to observe current, voltage, and daylight, which could serve as a viable substitute for smart monitoring of solar energy output and plant operations.

Abstract Image

开发太阳能光伏发电智能云监控系统
监督太阳能电池板和负载的主控制器将所有面板都与传感器连接。照射在太阳能电池上的辐射决定了产生的功率,实时监测对于评估太阳能光伏系统的性能至关重要。新兴的物联网为大大加强对太阳能输出和工厂运营的监控提供了机会。为了实现这一目标,需要一个远程监控系统,利用物联网来收集和传输数据。本研究旨在利用物联网来监测太阳能光伏系统并评估其有效性。监控系统包括数据网关、数据收集和用于云应用程序的表示等组件。收集到的数据存储在云中,可以直观地表示感知到的参数。系统取得了较好的准确率,平均传输时间为53.01 s。结果表明,推荐的监测系统允许用户观察电流、电压和日光,这可以作为太阳能输出和工厂运行智能监测的可行替代方案。
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