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

光伏系统 可再生能源 可靠性 发电 太阳能 分布式发电 能源管理 计算机科学 环境经济学 系统工程 环境科学 工程类 可靠性工程 电气工程 能量(信号处理) 功率(物理) 统计 物理 数学 量子力学 经济
作者
Challa Krishna Rao,Sarat Kumar Sahoo,Franco Fernando Yanine
出处
期刊:Energy harvesting and systems [De Gruyter]
卷期号:11 (1) 被引量:12
标识
DOI:10.1515/ehs-2023-0015
摘要

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.
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