论文标题
智能电网的雾计算：挑战和解决方案
Fog Computing for Smart Grids: Challenges and Solutions
论文作者
论文摘要
智能电网（SGS）可以整合包括可再生能源在内的各种电源。它们可以有助于减少有害气体排放，并支持双向信息流以及提高能源效率以及小规模的微电网，这是应对环境问题的有前途解决方案。但是，随着任务关键和延迟敏感应用程序的出现，传统的基于云的数据处理模式变得不那么令人满意。使用雾计算来增强智能网格系统的边缘处理能力被认为是解决该问题的潜在解决方案。在本章中，我们旨在对智能电网中雾计算的应用进行全面分析。我们从智能电网和雾计算的概述开始。然后，通过调查现有研究，我们总结了启用智能电网应用程序，关键问题和可能的方法的主要雾计算。我们通过讨论研究挑战和未来方向来结束本章。
Smart grids (SGs) enable integration of diverse power sources including renewable energy resources. They can contribute to the reduction of harmful gas emission, and support two-way information flow to enhance energy efficiency, along with small-scale Microgrids, acting as a promising solution to cope with environmental problems. However, with the emerging of mission-critical and delay-sensitive applications, traditional Cloud-based data processing mode becomes less satisfying. The use of Fog computing to empower the edge-side processing capability of Smart grid systems is considered as a potential solution to address the problem. In this chapter, we aim to offer a comprehensive analysis of application of Fog computing in Smart grids. We begin with an overview of Smart grids and Fog computing. Then, by surveying the existing research, we summarize the main Fog computing enabled Smart grid applications, key problems and the possible methods. We conclude the chapter by discussing the research challenges and future directions.
