An IoT-based intelligent smart energy monitoring system for solar PV power generation

Q2 Engineering
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine
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引用次数: 0

Abstract

Abstract As the world’s attention turns to cleaner, more dependable, and sustainable resources, the renewable energy sector is rising quickly. The decline in world energy use and climate change are the two most significant factors nowadays. PV forecasting was essential to enhancing the efficiency of the real-time control system and preventing any undesirable effects. The smart energy management systems of distributed energy resources, the forecasting model of irradiation received from the sun, and therefore PV energy production might mitigate the impact of uncertainty on PV energy generation, improve system dependability, and increase the incursion level of solar power generation. Smart sensors and Internet of Things technologies are essential for monitoring and controlling applications in a broad range of fields. As a result, solar power generation forecasting was essential for microgrid stability and security, as well as solar photovoltaic integration in a strategic approach. This paper examines how to use IoT, a solar photovoltaic system being monitored, and shows the proposed monitoring system is a potentially viable option for smart remote and in-person monitoring of a solar PV system.
一种基于物联网的太阳能光伏发电智能智能能量监测系统
随着世界对更清洁、更可靠、更可持续的资源的关注,可再生能源领域正在迅速崛起。世界能源使用的减少和气候变化是当今最重要的两个因素。光伏预测对于提高实时控制系统的效率和防止不良影响至关重要。分布式能源智能管理系统、太阳辐照预测模型以及光伏发电可以减轻不确定性对光伏发电的影响,提高系统可靠性,提高太阳能发电的入侵水平。智能传感器和物联网技术对于广泛领域的监测和控制应用至关重要。因此,太阳能发电预测对微电网的稳定性和安全性至关重要,也是太阳能光伏发电整合的一种战略手段。本文研究了如何使用物联网,太阳能光伏系统被监控,并表明拟议的监控系统是太阳能光伏系统的智能远程和现场监控的潜在可行选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Harvesting and Systems
Energy Harvesting and Systems Energy-Energy Engineering and Power Technology
CiteScore
2.00
自引率
0.00%
发文量
31
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