This study explores integrated methods for managing Smart Grid (SG) with a focus on complex vulnerability analysis, blackout prevention and increasing the resilience of energy infrastructure. In the context of the transition to renewable sources and increasingly stringent sustainability requirements, SG are becoming essential for optimizing consumption, reducing losses and ensuring the continuity of electricity supply. The paper highlights the importance of systematic risk assessment, including both physical threats and cyber-attacks, and proposes real-time monitoring methodologies for rapid detection and isolation of faults. By integrating IoT (Internet of Things), AI (Artificial Intelligence) and advanced predictive analytics technologies, it aims to prevent blackouts and reduce their impact on consumers. It also discusses strategies for increasing the resilience of SG, such as the implementation of autonomous micro-grids, energy storage and optimization of energy flows. The study highlights those integrated approaches that not only improve grid security and reliability, but also significantly contribute to promoting energy sustainability practices, through efficient use of resources and reducing the carbon footprint. The results highlight that proactive planning, combined with advanced monitoring and control technologies, allows SG to respond adaptively to disruptions, minimize risks and ensure a more sustainable and resilient energy system.
Petrilean et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: