Design of Digital Twin Framework for Electrical Safety of Energy Storage System

Recently, the industry has been paying attention to energy storage devices to resolve intermittency as renewable energy generation increases. However, the ESS (Energy Storage System) industry continues to shrink due to a series of ESS fires that have occurred recently in Korea. Accordingly, KESCO (Korea Electrical Safety Corporation) analyzed 59 cases of domestic energy storage device fires or failures. As a result, the battery interior, battery room environment, and operation were defined as being very important to safety. This paper presents a digital twin framework that performs real-time monitoring and simulation to perform various failure cause analysis and safety diagnosis. This digital twin framework presents about 21 data management items, including 8 items for protection maps, 6 items for artificial intelligence algorithms, and 3 items for battery status, 3 items for battery environment, and 1 item for battery operation related to data collection.