Group 1 - The core point of the article is the successful cloud integration of meteorological data from the 10 kV Xiao Qiao photovoltaic power station, which is expected to enhance the renewable energy generation capacity in Zhejiang Province [1] - The meteorological data, particularly real-time irradiance information, is crucial for predicting photovoltaic power output, and the current challenges in data collection and management hinder accurate monitoring of distributed photovoltaic output fluctuations [1] - The 10 kV Xiao Qiao photovoltaic power station is the first pilot station in Zhejiang for integrating distributed photovoltaic meteorological data, equipped with micro-meteorological devices that collect nine key meteorological parameters [1] Group 2 - The company has deployed over 50 micro-meteorological devices in distributed photovoltaic stations in Chuzhou City, standardizing meteorological monitoring data formats and establishing a data mapping model for real-time synchronization to the dispatch automation system [1] - Accurate monitoring and forecasting of meteorological conditions will assist grid dispatch departments in more scientifically arranging conventional power output, reducing backup demand, and improving system operational efficiency [1] - The next steps involve deepening pilot applications, continuously optimizing data models, and promoting this model across Zhejiang Province to support the green energy transition and ensure the safe and economical operation of the power system [2]