Evolution in Computing Paradigms for Internet of Things-Enabled Smart Grid Applications: Their Contributions to Power Systems

IF 1.9 Q3 COMPUTER SCIENCE, CYBERNETICS
Fargol Nematkhah, F. Aminifar, M. Shahidehpour, S. Mokhtari
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引用次数: 2

Abstract

The excessive number of connected devices and the unprecedented large volumes of data have triggered significant advancements in computing technologies to leverage the collected data for establishing novel services. Accordingly, cloud, edge, and fog notions have been developed to provide data processing, storage, and networking to fulfill the ever-changing application requirements. Recent efforts have attempted to push data processing closer to the edge of the network, where potential data producers and consumers reside. The evolving paradigm of computing methods has enabled innovative data-based solutions in health-care, industry, transportation, and energy domains for societal, economic, and productivity enhancements. Along with the computational shifts, power systems are undergoing transformative changes. Extensive penetration of nondispatchable generation resources, electric vehicles (EVs), and storage systems is occurring at various levels of power systems, particularly at the edge of the grid.
物联网智能电网应用计算范式的演变:对电力系统的贡献
过多的连接设备和前所未有的大量数据已经触发了计算技术的重大进步,以利用收集的数据建立新的服务。因此,云、边缘和雾的概念已经被开发出来,以提供数据处理、存储和网络,以满足不断变化的应用程序需求。最近的努力试图将数据处理推向网络边缘,那里是潜在的数据生产者和消费者所在的地方。不断发展的计算方法范例使医疗保健、工业、运输和能源领域的基于数据的创新解决方案成为可能,从而提高社会、经济和生产力。随着计算能力的转变,电力系统也在经历革命性的变化。不可调度发电资源、电动汽车(ev)和存储系统的广泛渗透正在各级电力系统中发生,特别是在电网的边缘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Systems Man and Cybernetics Magazine
IEEE Systems Man and Cybernetics Magazine COMPUTER SCIENCE, CYBERNETICS-
自引率
6.20%
发文量
60
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