Photovoltaic (PV) monitoring systems are crucial for efficient solar power generation in the renewable energy landscape. The global demand for clean energy underscores the importance of photovoltaic technology in addressing energy security and environmental challenges. However, the increasing scale of solar power plants and technological advancements present challenges in the monitoring and management of PV systems. Existing research in this area has limitations, including a gap in advanced monitoring and fault detection integration, a need for a deeper exploration of practical challenges in real-world PV systems, and a call for a comparative analysis of methods. This study aims to address these gaps and provide valuable insights for researchers. The paper offers a comprehensive overview of traditional and modern Internet of Things (IoT) monitoring systems, including recent developments in substation environmental control. IoT-based control methods, leveraging sensors and real-time data, are highlighted for their potential in enhancing automation and rapid response. The study also scrutinizes IoT applications in PV monitoring, covering fault detection, automatic control, and advanced control models, providing practical guidance for researchers and a clear comparison of methods. In conclusion, the review aims to overcome existing limitations, laying the groundwork for more advanced and efficient PV monitoring systems. The insights provided contribute to the ongoing development of sustainable and clean energy solutions globally.
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Wang et al. (2024) studied this question.
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