INTELLIGENT CONTROL AND SECURITY SYSTEMS IN CYBER-PHYSICAL AND CLOUD ENVIRONMENTS OF SMART GRID

The paper examines methodological, algorithmic, and architectural approaches to designing intelligent control and defense systems aimed at ensuring the operational resilience of Smart Grids under the growing intensity of cyber threats. The necessity of transitioning from traditional IT-oriented security tools to hybrid adaptive solutions is substantiated. These solutions combine mechanisms of cyber-physical survivability, automatic recovery, and cognitive response to high-risk attacks such as Denial-of-Service, spoofing, and data injection. A conceptual model of Smart Grid resilience architecture is proposed, built on the synthesis of robust estimation methods, fault-tolerant control, distributed filtering (Distributed Kalman Filtering), and dynamic trust management models. A systematic classification of modern attack vectors targeting digital substations, SCADA, RTU, and HMI components is developed, with formalization of requirements for their protection in the context of both information and physical security. The study explores cloud-edge orchestration of Smart Grid telemetry streams, deploying analytics close to data sources (edge) and scalable aggregation in the cloud for mode