储能科学与技术2024，Vol.13Issue(5)：1603-1605,3.DOI:10.19799/j.cnki.2095-4239.2024.0366
大数据型热储存系统的能量存储安全性
Energy storage safety of big data type heat storage system
摘要
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.关键词
大数据/能量安全/系统/储能Key words
big data/energy safety/system/energy storage分类
能源科技引用本文复制引用
史玲华,吴松丽..大数据型热储存系统的能量存储安全性[J].储能科学与技术,2024,13(5):1603-1605,3.基金项目
河南省社会科学界联合会调研课题(SKL-2023-1712). （SKL-2023-1712）
