Abstract:

Thermal storage systems can effectively alleviate the power generation problems caused by the randomness and volatility of solar energy, and are currently one of the most important systems for the operation of photovoltaic power plants. However, due to the frequent switching of working states in daily applications, it is prone to data anomalies. The introduction of big data and the design of big data based thermal storage systems are important attempts to solve their problems. The article first analyzes the latest research and application theories of thermal storage system models, and takes the Andasol solar thermal storage system in the United States as an example to focus on the design and construction principles of its model, as well as the calculation method of energy balance. Finally, from two aspects: network independence testing and fusion model data diagnosis, the important application of big data technology in the security of thermal storage model systems is further elaborated.

Key words: big data, energy safety, system, energy storage