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DOI10.1016/j.rser.2023.113229
IntelliSense technology in the new power systems
Xie, Haonan; Jiang, Meihui; Zhang, Dongdong; Goh, Hui Hwang; Ahmad, Tanveer; Liu, Hui; Liu, Tianhao; Wang, Shuyao; Wu, Thomas
发表日期2023
ISSN1364-0321
EISSN1879-0690
卷号177
英文摘要The energy and climate crises have accelerated the decarbonization of electric power systems. An important part of this decarbonization process, along with the incorporation of renewable and alternative energies, is the emergence of Carbon-neutral, intelligent systems technologies, coupled with digital transformation. These have brought new dynamics to the electric power systems transformation. Significant amounts of renewable energy, massive power electronics, changes in market planning, policy influence, demand response, and emerging technologies all become the essential components of new power systems, bringing remarkable changes to this new power systems' enabling technologies: IntelliSense. A novel IntelliSense framework driven by new power system requirements is proposed. The development status, classification characteristics, the application of intelligent sensors, intelligent sensor flexible charging, and multisource plus multidimensional big data processing are all discussed in detail. They are interspersed with discussions of critical features of new power systems, the uncertainties inherent in big data about power, wireless power transfer technologies, edge-fog-cloud collaborative computing, intelligent algorithms, and other core elements of IntelliSense. Finally, ten core IntelliSense technology challenges and five major future opportunities are summarized and are expected to serve as a reference and spark new ideas for low-carbon power system development.
英文关键词New power systems; Smart grid; Carbon neutrality; Renewable energy; Intelligent sensors; Wireless power transfer; Power big data
语种英语
WOS研究方向Green & Sustainable Science & Technology ; Energy & Fuels
WOS类目Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000950207700001
来源期刊RENEWABLE & SUSTAINABLE ENERGY REVIEWS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/281356
作者单位Guangxi University; Guangxi University; University of Hong Kong; University of Tennessee System; University of Tennessee Knoxville; Guangxi University
推荐引用方式
GB/T 7714
Xie, Haonan,Jiang, Meihui,Zhang, Dongdong,et al. IntelliSense technology in the new power systems[J],2023,177.
APA Xie, Haonan.,Jiang, Meihui.,Zhang, Dongdong.,Goh, Hui Hwang.,Ahmad, Tanveer.,...&Wu, Thomas.(2023).IntelliSense technology in the new power systems.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,177.
MLA Xie, Haonan,et al."IntelliSense technology in the new power systems".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 177(2023).
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