To maintain the stability of the grid and to meet the load demand, safe and secured operation of stationary battery systems (SBS) is crucial under all scenarios. The cyber systems play a crucial role in improving the reliability and efficiency of the components in power grid network (SBS in this case) and aids in ensuring the safe operating conditions of the system.
The introduction residential/consumer energy storage systems which can participate in distributed energy management has resulted in new security issues. The utilities need to carry out critical control using a large set of actuators (i.e., inverters) at diverse consumer sites, which results in a heightened security problem, compared with the case of conventional control of conventional SBS owned by the utilities. Together they form a massive attack surface that cannot be overlooked.
The conventional host-based and network-based security could be bypassed by the highly skilled attackers with intention to disrupt the system operation. To address the requirement of resilient detection and mitigation scheme for SBS, attack detection and protection schemes for SBS needs to follow multi-modal and multilayer approach. This project focuses on deriving the correlation between local current measurements at different levels of distribution and the underlying process to identify adversarial actions targeting the damage of SBS downstream.