Beyond fifth generation (B5G) communication networks and computation paradigms in the edge are expected to be integrated into power grid infrastructures over the coming years. In this sense, AI technologies will play a fundamental role to efficiently manage dynamic information flows of future applications, which impacts the authorization policies applied in such a complex scenario. This article studies how digital twins can evolve their context awareness capabilities and simulation technologies to anticipate faults or to detect cyber-security issues in real time, and update access control policies accordingly. Our study analyzes the evolution of monitoring platforms and architecture decentralization, including the application of machine learning and blockchain technologies in the smart grid, toward the goal of implementing autonomous and self-learning agents in the medium and long term. We conclude this study with future challenges on applying digital twins to B5G-based smart grid deployments.

中文翻译：

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在支持B5G的智能电网中实现智能授权的数字孪生

预计在未来几年中，除了第五代（B5G）之外，边缘网络中的通信网络和计算范例还将集成到电网基础架构中。从这个意义上讲，人工智能技术将在有效管理未来应用程序的动态信息流方面发挥重要作用，这将影响在这种复杂情况下应用的授权策略。本文研究了数字孪生如何发展其情境感知能力和仿真技术，以预测故障或实时检测网络安全问题，并相应地更新访问控制策略。我们的研究分析了监控平台和架构分散化的发展，包括机器学习和区块链技术在智能电网中的应用，朝着实现中长期的自主和自学代理的目标迈进。我们在将数字孪生应用于基于B5G的智能电网部署中的未来挑战时结束了本研究。