<p>In recent years, the reduction of carbon emissions has led to the integration of renewable energies into electricity grids. This has improved their distributed structure. However, this transformation has also increased the attack surface. Traditionally, cybersecurity is addressed through standard methods and predictable solutions. These often neglect the inherent fluctuation of renewable energies. From a resilience perspective, the smart grid must function as a cyber-physical ecosystem. Availability and responsiveness are paramount, as cyberattacks against these infrastructures can rapidly lead to instability. They require unified detection, mitigation, and recovery (DMR) strategies. Combined approaches, leveraging physical knowledge and data-centric models, offer a greater capacity to detect discrete threats specific to renewable energies. This paper provides a critical assessment. It examines the maturity and practical relevance of new DMR approaches for smart grids powered by renewable energies. It highlights the strengths and limitations of the work analyzed. Thus, digital twins enable the testing of mitigation strategies, blockchain strengthens trust in transactions, and robust microarchitectures underpin effective recovery. Nevertheless, major challenges persist regarding scalability, interoperability, and real-time response capabilities. This article therefore proposes: (a) a unified conceptual framework; (b) an integrated security checklist; and (c) a research roadmap for securing critical energy infrastructures. These frameworks promote the comprehensive and secure integration of DMR technologies and ensure their scalability, compatibility, and effectiveness in addressing emerging cyber risks.</p>