A Cyber-Physical Security Framework for Chemical Energy Storage Systems in Smart Renewable Energy Grids

Chemical energy storage systems are critical for deployment into smart renewable energy grids for the purpose of providing grid flexibility, balancing energy and lowering overall carbon emissions.Though, the inclusion of storage technologies like lithium batteries and ammonia fuel cells brings forth major cyber physical vulnerabilities from the digitally controlled and nonlinear chemical processes which they are composed from.Cyber malicious threats like sensor spoofing and false data injection as well as denial of service attacks can spread through the control layers and cause unsafe charging operation, thermal instability, and even hazardous chemical reactions.In this work, a complete cyber physical security framework, tailored for chemical energy storage devices in a decentralized smart grid, is developed and offered.Secure communication protocols, real time anomaly detection using supervised machine learning and chemical state aware control logic are integrated in secure layers in battery and fuel cell management systems.A chemical process modeler was woven with an OpenDSS model and NS-3 for composition of a hybrid cosimulation testbed, where chemical, grid level, adversarial communication events, and control layer disruption can be further trained using uncertainty handling and reinforcement learning.Specifically, under false state of charge injection, lithium ion batteries are overcharged, denial of service attacks on ammonia fuel cell controllers lead to uncontrolled thermal and gas pressure buildups, and coordinated multi-vector attacks disable alarms, spoof sensors and sync the EMS.The simulation results showed that the anomaly detection in the proposed framework takes less than 1.6 seconds, autonomous subsystem isolation, and provided an energy delivery performance above 95% reliability.Operating under adversarial stress, thermal and pressure conditions were held within safe operating margins, while electrochemical efficiency was stable.The expected system converts the chemical storage parts into flexible, self-reliant tasks that shields themselves autonomously even within persistent attack settings.Finally, this study also emphasizes that next-generation cyber-physical solutions to energy critical infrastructure security need to be endowed with chemical-awareness and distributed autonomy.